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ORCIDBIBM 2017: Kansas City, MO, USA
- Xiaohua Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Yang Gong, Dmitry Korkin, Illhoi Yoo, Huiru Jane Zheng:
2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-3050-7 - Rosario I. Corona, Sanjana Sudarshan, Jun-tao Guo, Srinivas Aluru:
Confidence assessment of protein-DNA complex models. 9-15 - Ye Han, Fei He, Xian Tan, Helong Yu:
Effective small interfering RNA design based on convolutional neural network. 16-21 - Wanli Qiao, Tatiana Maximova, Xiaowen Fang, Erion Plaku
, Amarda Shehu:
Reconstructing and mining protein energy landscape to understand disease. 22-27 - Antonio Sze-To, Andrew K. C. Wong:
Pattern-directed aligned pattern clustering. 28-35 - Jun Tan, Donald A. Adjeroh:
Structure-based protein family signature: Efficient comparison of multidomain proteins. 36-41 - Ronghui You, Shanfeng Zhu:
DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation. 42-49 - Jingpu Zhang, Shuai Zou, Lei Deng:
BiRWLGO: A global network-based strategy for lncRNA function annotation using bi-random walk. 50-55 - Xiaoyu Zhang, Xiangke Liao, Hao Zhu, Kenli Li, Benyun Shi, Shaoliang Peng:
A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. 56-61 - Pei-Yuan Zhou, Antonio Sze-Tzo, Andrew K. C. Wong:
Discovery and disentanglement of protein aligned pattern clusters to reveal subtle functional subgroups. 62-69 - Joao Almeida, Joana Ferreira, Rui Camacho, Luísa Pereira:
Co-expression networks between protein encoding mitochondrial genes and all the remaining genes in human tissues. 70-73 - Ron Ayoub, Yugyung Lee:
RUPEE: Scalable protein structure search using run position encoded residue descriptors. 74-78 - Sairam Behera, Xianjun Li, James C. Schnable, Jitender S. Deogun:
DiCE: Discovery of conserved noncoding sequences efficiently. 79-82 - Ryan Ehrlich, Dario Ghersi:
Analyzing T cell receptor alpha/beta usage in binding to the pMHC. 83-87 - Junqiang Wang, Yun Xiao, Zixiang Wang, Weihua Zhan, Lei Deng:
Combining diffusion and HeteSim features for accurate prediction of protein-lncRNA interactions. 88-91 - Yan Zhang, Bo Zhang, W. Jim Zheng, Jijun Tang, Feng Yue:
HiCComp: Multiple-level comparative analysis of Hi-C data by triplet network. 92-96 - Chunyu Zhao, Yizhou Zang, Wei Quan, Xiaohua Hu, Ahmet Sacan:
HIV1-human protein-protein interaction prediction based on interface architecture similarity. 97-100 - Zeynep Hakguder, Chunxiao Liao, Jiang Shu, Juan Cui:
A new statistical model for genome-scale MicroRNA target prediction. 101-107 - Fei He, Lingling Bao, Rui Wang, Jiagen Li, Dong Xu, Xiaowei Zhao:
A multimodal deep architecture for large-scale protein ubiquitylation site prediction. 108-113 - Haiying Wang, Huiru Zheng, Richard J. Dewhurst, Rainer Roehe:
Microbial co-presence and mutual-exclusion networks in the Bovine rumen microbiome. 114-119 - Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu:
GMAlign: A new network aligner for revealing large conserved functional components. 120-127 - Roberta Bardini, Gianfranco Politano, Alfredo Benso, Stefano Di Carlo:
Using multi-level Petri nets models to simulate microbiota resistance to antibiotics. 128-133 - Rahul Metri, Shikhar Saxena, Madhulika Mishra, Nagasuma Chandra:
Modelling metabolic rewiring during melanoma progression using flux balance analysis. 134-137 - Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
Mathematical model for pancreatic cancer progression using non-constant gene mutation rate. 138-141 - Nhat Tran, Vinay Abhyankar, Kytai Nguyen, Ishfaq Ahmad, Jon Weidanz, Jean Gao:
MicroRNA dysregulational synergistic network: Learning context-specific MicroRNA dysregulations in lung cancer subtypes. 142-145 - Hongbo Zhang, De-Shuang Huang:
Soft-bag based motif discovery for ChIP-seq datasets. 146-149 - Wenjian Bi, Guolian Kang, Stanley Pounds:
Statistical selection of biological models for genome-wide association analyses. 150-157 - Ashis Kumer Biswas, Jean Gao:
LiDiAimc: LincRNA-disease associations through inductive matrix completion. 158-163 - Jialu Hu, Yan Zheng, Xuequn Shang:
MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale. 164-168 - Natasha Pavlovikj, Etsuko N. Moriyama, Jitender S. Deogun:
Comparative analysis of alignment tools for nanopore reads. 169-174 - J. Sebastian Sigmon, Leonard McMillan:
Choosing optimal controls for genotyping arrays. 175-180 - Zachary D. Stephens, Ravishankar K. Iyer, Chen Wang, Jean-Pierre A. Kocher:
Unraveling complex local genomic rearrangements from long-read data. 181-187 - Tanjin Taher Toma, Zachary Williams, Jeremy M. Dawson, Donald A. Adjeroh:
What can one chromosome tell us about human biogeographical ancestry? 188-193 - Haohan Wang, Xiang Liu, Yunpeng Xiao, Ming Xu, Eric P. Xing:
Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model. 194-201 - Tianyu Wang, Sheida Nabavi:
Differential gene expression analysis in single-cell RNA sequencing data. 202-207 - Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, Rui Jiang:
Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes. 208-215 - Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu, Yi Pan:
MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents. 216-221 - Runmin Yang, Daming Zhu, Qiang Kou, Poornima Bhat-Nakshatri, Harikrishna Nakshatri, Si Wu, Xiaowen Liu:
A spectrum graph-based protein sequence filtering algorithm for proteoform identification by top-down mass spectrometry. 222-229 - Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi:
Noise cancellation for robust copy number variation detection using next generation sequencing data. 230-236 - Shenglong Zhu, Scott J. Emrich, Danny Z. Chen:
Inversion detection using PacBio long reads. 237-242 - Jingying Huang, Yuwen Zhou, Aodan Xu, Enhong Zhuo, Xin Jin, Hongmin Cai:
A copy-number variation detection pipeline for single cell sequencing data on BGI online. 243-246 - Rahul Nihalani, Sriram P. Chockalingam, Shaowei Zhu, Vijay V. Vazirani, Srinivas Aluru:
Probabilistic estimation of overlap graphs for large sequence datasets. 247-252 - Tayo Obafemi-Ajayi, Luke Settles, Yuqing Su, Cynthia Germeroth, Gayla R. Olbricht, Donald C. Wunsch, T. Nicole Takahashi, Judith H. Miles:
Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype. 253-257 - Yongxiang Wang, Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Haiqing Yin:
Improved classification model for peptide identification based on self-paced learning. 258-261 - Yan-Shuo Chu, Mingxiang Teng, Zhenxing Wang, Yongtian Wang, Yadong Wang:
Pre-SCNAClonal: Efficient GC bias correction for SCNA based tumor subclonal populations inferring. 262-265 - Lu Zhang, Qiuping Pan, Xintao Wu:
Modeling SNP and quantitative trait association from GWAS catalog using CLG Bayesian network. 266-269 - Yiyu Zheng, Xiaoman Li, Haiyan Hu:
Discover the semantic structure of human reference epigenome by differential latent dirichlet allocation. 270-275 - Jesus A. Beltran, Longendri Aguilera-Mendoza, Carlos A. Brizuela:
Feature weighting for antimicrobial peptides classification: A multi-objective evolutionary approach. 276-283 - Dong Yueli, Guo Quan, Sun Bin:
A molecular docking platform based on Hadoop. 284-287 - Chirag N. Patel, Sivakumar Prasanth Kumar, Himanshu A. Pandya, Krunal M. Modi, Daxesh P. Patel, Frank J. Gonzalez:
Retrieval of promiscuous natural compounds using multiple targets docking strategy: A case study on kinase polypharmacology. 288-291 - Ankur Agrawal, Paul Revelo:
Analysis of the consistency in the structural modeling of SNOMED CT and CORE problem list concepts. 292-296 - Rubén Armañanzas:
Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease. 297-304 - Wasim Al Assad, Maxim Topaz, John Tu, Li Zhou:
The application of machine learning to evaluate the adequacy of information in radiology orders. 305-310 - Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving palliative care with deep learning. 311-316 - Xuezhi Cao, Zhiyu Chen, Xinyi Zhang, Yong Yu:
IMAP: An iterative method for aligning protein-protein interaction networks. 317-324 - Wen Cao, Juan Shan, Nicholas Czarnek, Lin Li:
Microaneurysm detection in fundus images using small image patches and machine learning methods. 325-331 - Xueyuan Cao, E. Olusegun George, Mingjuan Wang, Dale B. Armstrong, Cheng Cheng, Susana C. Raimondi, Jeffrey E. Rubnitz, James R. Downing, Mondira Kundu, Stanley Pounds:
POST: A framework for set-based association analysis in high-dimensional data. 332-338 - Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Wayne Kelly, Dimitri Perrin:
Signature-based clustering for analysis of the wound microbiome. 339-346 - Bing Feng, David C. Samuels, William Hoskins, Yan Guo, Yan Zhang, Jijun Tang, Zibo Meng:
Down syndrome prediction/screening model based on deep learning and illumina genotyping array. 347-352 - Jiabing Fu, Shoubin Dong:
ALL-CQS: Adaptive locality-based lossy compression of quality scores. 353-359 - Hong Peng, Jinlong Chao, Yongzong Wang, Bin Hu, Dennis Majoe:
Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks. 360-366 - Jenny Jeong, Peng Qiu:
The relative importance of data points in systems biology and parameter estimation. 367-373 - Hsin-Chun Lee, Hung-Yu Kao:
CDRnN: A high performance chemical-disease recognizer in biomedical literature. 374-379 - Lishuang Li, Yuxin Jiang:
Biomedical named entity recognition based on the two channels and sentence-level reading control conditioned LSTM-CRF. 380-385 - Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan:
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. 386-391 - Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi:
Collaborative phenotype inference from comorbid substance use disorders and genotypes. 392-397 - Tianle Ma, Aidong Zhang:
Integrate multi-omic data using affinity network fusion (ANF) for cancer patient clustering. 398-403 - Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. 404-409 - Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, Chengxiang Zhai:
Temporal reflected logistic regression for probabilistic heart failure survival score prediction. 410-416 - Chunyang Ruan, Ye Wang, Yanchun Zhang, Jiangang Ma, Huijuan Chen, Uwe Aickelin, Shanfeng Zhu, Ting Zhang:
THCluster: Herb supplements categorization for precision traditional Chinese medicine. 417-424 - Quoc-Nam Tran, Mike Wallinga:
UPS: A new approach for multiple sequence alignment using morphing techniques. 425-430 - Haohan Wang, Bryon Aragam, Eric P. Xing:
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies. 431-438 - Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu:
Bacterial named entity recognition based on dictionary and conditional random field. 439-444 - Yan Wang, Jian Wang, Hongfei Lin, Shaowu Zhang, Lishuang Li:
Biomedical event trigger detection based on bidirectional LSTM and CRF. 445-450 - Weijie Liu, Anpeng Huang, Ping Wang:
BpMC: A novel algorithm retrieving multilayered tissue bio-optical properties for non-invasive blood glucose measurement. 451-456 - Anuradha Welivita, Indika Perera, Dulani Meedeniya:
An interactive workflow generator to support bioinformatics analysis through GPU acceleration. 457-462 - Bin Wu, Jingshan Huang, Mohan Vamsi Kasukurthi, Fangwan Huang, Jiang Bian, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, Tsutomu Kazumi:
Combine biological experiments, statistical analysis, and semantic search to discover association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women. 463-468 - Lingwei Xie, Zhongnan Zhang, Song He, Xiaochen Bo, Xinyu Song:
Drug - target interaction prediction with a deep-learning-based model. 469-476 - Wenhui Xing, Xiaohui Yuan, Lin Li, Jing Peng:
Cascade word embedding to sentence embedding: A class label enhanced approach to phenotype extraction. 477-484 - Bo Xu, Changlong Li, Hang Zhuang, Jiali Wang, Qingfeng Wang, Chao Wang, Xuehai Zhou:
Distributed gene clinical decision support system based on cloud computing. 485-490 - Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan:
Modeling heart procedures from EHRs: An application of exponential families. 491-497 - Michael Youmans, Christian Spainhour, Peng Qiu:
Long short-term memory recurrent neural networks for antibacterial peptide identification. 498-502 - Wen Zhang, Xiang Yue, Yanlin Chen, Weiran Lin, Bolin Li, Feng Liu, Xiaohong Li:
Predicting drug-disease associations based on the known association bipartite network. 503-509 - Nauman Ahmed, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars:
GPU accelerated API for alignment of genomics sequencing data. 510-515 - William Baskett, Matthew Spencer, Chi-Ren Shyu:
Efficient GPU-accelerated extraction of imperfect inverted repeats from DNA sequences. 516-520 - Dennis M. Bergau, Cong Liu, Hui Lu:
Prediction of human QT prolongation liability based on pre-clinical RNA expression profiles. 521-524 - Xingyu Cai, Abdullah-Al Mamun, Sanguthevar Rajasekaran:
Novel algorithms for finding the closest l-mers in biological data. 525-528 - Nolan Donoghue, Justin Gardin, Bruce Futcher, Steven Skiena:
Optimal codon pair bias design (extended abstract). 529-532 - Yongping Du, Yunpeng Pan, Junzhong Ji:
A novel serial deep multi-task learning model for large scale biomedical semantic indexing. 533-537 - Chen Fang, Chunfei Li, Mercedes Cabrerizo, Armando Barreto, Jean Andrian, David A. Loewenstein, Ranjan Duara, Malek Adjouadi:
A Gaussian discriminant analysis-based generative learning algorithm for the early diagnosis of mild cognitive impairment in Alzheimer's disease. 538-542 - Chen Fang, Panuwat Janwattanapong, Harold Martin, Mercedes Cabrerizo, Armando Barreto, David A. Loewenstein, Ranjan Duara, Malek Adjouadi:
Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction. 543-546 - Omar A. Ibrahim, James Keller, Mihail Popescu:
Context preserving representation of daily activities in elder care. 547-551 - Zhenchao Jiang, Liang Gu, Qingshan Jiang:
Drug drug interaction extraction from literature using a skeleton long short term memory neural network. 552-555 - Cheikhou Oumar Ka, Jean Marie Dembele, Christophe Cambier, Serge Stinckwich, Moussa Lo, Jean-Daniel Zucker:
Deterministic convection-diffusion approach for modeling cell motion and spatial organization: Experimentation on avascular tumor growth. 556-60 - Xinlei Li, Tong Yang, Yangyang Hu, Menglong Xu, Wenqiang Zhang, Fufeng Li:
Automatic tongue image matting for remote medical diagnosis. 561-564 - Lishuang Li, Yang Liu:
Exploiting argument information to improve biomedical event trigger identification via recurrent neural networks and supervised attention mechanisms. 565-568 - Siqi Liu, Adam Wright, Dean F. Sittig, Milos Hauskrecht:
Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model. 569-572 - Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu:
Translating literature into causal graphs: Toward automated experiment selection. 573-576 - Magdalena Metlicka, Mojtaba Nouri Bygi, Ileana Streinu:
Repairing gaps in Kinari-2 for large scale protein and flexibility analysis applications. 577-580 - Megha Nagabhushan, Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee:
Constructing dynamic ontologies from biomedical publications. 581-584 - Ronald J. Nowling, Scott J. Emrich:
Stable feature ranking with logistic regression ensembles. 585-589 - Yue Peng, Chi Tang, Gang Chen, Junyuan Xie, Chongjun Wang:
Multi-label learning by exploiting label correlations for TCM diagnosing Parkinson's disease. 590-594 - Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha:
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. 595-599 - Manan A. Shah, Dayong Wang, Christopher Rubadue, David Suster, Andrew H. Beck:
Deep learning assessment of tumor proliferation in breast cancer histological images. 600-603 - Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. 604-607 - Gene Shuman, Zoran Duric, Lynn H. Gerber:
Classifying continuous hand grips and movements using myoelectric and accelerometer signals. 608-612 - Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj:
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. 613-617 - Fan Tong, Zheheng Luo, Dongsheng Zhao:
A deep network based integrated model for disease named entity recognition. 618-621 - Matthew Velazquez, Yugyung Lee:
QA diagnostics with visual recognition tracking for accurate trending of Alzheimer's disease. 622-625 - Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai:
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. 626-629 - Yongtian Wang, Liran Juan, Yan-Shuo Chu, Rongjie Wang, Tianyi Zang, Yadong Wang:
FNSemSim: An improved disease similarity method based on network fusion. 630-633 - Rongjie Wang, Yang Bai, Qianlong Cheng, Tianyi Zang, Yadong Wang:
A bucket index correction based method for compression of genomic sequencing data. 634-637 - Sean West, Hesham H. Ali:
Granularity-aware fusion of biological networks for information extraction. 638-642 - Wen Zhang, Jingwen Shi, Guifeng Tang, Wenjian Wu, Xiang Yue, Dingfang Li:
Predicting small RNAs in bacteria via sequence learning ensemble method. 643-647 - Xiaowei Zhang, Yuan Yao, Manman Wang, Jian Shen, Lei Feng, Bin Hu:
Normalized mutual information feature selection for electroencephalogram data based on grassberger entropy estimator. 648-652 - Ling Zheng, Hua Min, Yehoshua Perl, James Geller:
Discovering additional complex NCIt gene concepts with high error rate. 653-657 - Terri Benskin, Iris Zachary, Magda Esebua, Uzma Khan:
Collaborations across disciplines: MU thyroid nodule electronic database (MU-TNED), a multidisciplinary informatics approach. 658-662 - Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay:
Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset. 663-670 - Yaodong Du, Juan Shan, Ming Zhang:
Knee osteoarthritis prediction on MR images using cartilage damage index and machine learning methods. 671-677 - Matin Kheirkhahan, Shikha Mehta, Madhurima Nath, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini, Sanjay Ranka:
A bag-of-words approach for assessing activities of daily living using wrist accelerometer data. 678-685 - Vineetha Menon, Shantia Yarahmadian, Vahid Rezania:
Superresolution and EM based ML Kalman estimation of the stochastic microtubule signal modeled as three states random evolution. 686-693 - Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang:
A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning. 694-699 - Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu:
Whole mammogram image classification with convolutional neural networks. 700-704 - Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen:
Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. 705-709 - Diyue Bu, Xuefu Wang:
Causal effect study of high cholesterol on myopia. 710-713 - Li Chen, Yanjun Xie, Jie Sun, Niranjan Balu, Mahmud Mossa-Basha, Kristi Pimentel, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
3D intracranial artery segmentation using a convolutional autoencoder. 714-717 - Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar:
Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering. 718-723 - Wei Guo, Xuan Yang, Junhao Wu, Adan Lin:
Left ventricle motion estimation for cardiac cine MRI using graph matching. 724-727 - Yingying Jiao, Bao-Liang Lu:
Detecting driver sleepiness from EEG alpha wave during daytime driving. 728-731 - Kenneth H. Lai, Suzanne V. Blackley, Li Zhou:
Using mutual information clustering to discover food allergen cross-reactivity. 732-735 - Zewen Li, Adan Lin, Xuan Yang, Junhao Wu:
Left ventricle segmentation by combining convolution neural network with active contour model and tensor voting in short-axis MRI. 736-739 - Lan Luo, Hongxia Gao, Yinghao Luo, Yongfei Chen:
A stochastic iterative evolution CT reconstruction algorithm for limited-angle sparse projection data. 740-744 - Zhiping Xu, Xiang Liu, Xi En Cheng, Jia Lin Song, Jian Quan Zhang:
Diagnosis of cirrhosis stage via deep neural network. 745-749 - William Yang, Sherman Morton Weissman, Renchu Guan, Jialing Zhang, Allon Canaan, Mary Qu Yang:
Invited talk: Developing deep multi-source intelligent learning that facilitates the advancement of single cell genomics research. 750-753 - Zhijun Yao, Bin Hu, Tao Hu, Jianping An, Dawei Song, Ning Zhong:
APOE4 modulates the activities within defalut mode network and interactions of resting intrinsic networks. 754-758 - Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, Hongyuan Zha:
Glioma grading based on 3D multimodal convolutional neural network and privileged learning. 759-763 - Tian Bai, Ashis Kumar Chanda, Brian L. Egleston, Slobodan Vucetic:
Joint learning of representations of medical concepts and words from EHR data. 764-769 - Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen:
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding. 770-777 - Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street:
Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. 778-785 - Xiangrui Li, Dongxiao Zhu, Phillip Levy:
Predictive deep network with leveraging clinical measure as auxiliary task. 786-791 - Dan Li, William Yang, Yifan Zhang, Jack Y. Yang, Weida Tong, Renchu Guan, Mary Qu Yang:
Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression. 792-797 - Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun:
A document-based neural relevance model for effective clinical decision support. 798-804 - Jingyi Shi, Mingna Zheng, Lixia Yao, Yaorong Ge:
DIR - A semantic information resource for healthcare datasets. 805-810 - Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao:
Personalized disease prediction using a CNN-based similarity learning method. 811-816 - Xi Wu, Steven K. Roggenkamp, Shiqiang Tao, Guo-Qiang Zhang:
ImageSfERe: Image sharing for epilepsy research. 817-823 - Xiangzhen Xu, Lizhen Cui, Shijun Liu, Hui Li, Lei Liu, Yongqing Zheng:
Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes. 824-829 - Yifan Zhang, William Yang, Dan Li, Jack Y. Yang, Renchu Guan, Weida Tong, Mary Qu Yang:
Toward precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis. 830-835 - Subrata Acharya, Omotayo Victor Imani:
A novel resource management approach for paramedic triage systems. 836-839 - David Cirella, Huanying Gu:
Generating abstraction networks using semantic similarity measure of ontology concepts. 840-843 - Jaired Collins, Joseph Warren, Mengxuan Ma, Rachel Proffitt, Marjorie Skubic:
Stroke patient daily activity observation system. 844-848 - Ryan Eshleman, Deeptanshu Jha, Rahul Singh:
Identifying individuals amenable to drug recovery interventions through computational analysis of addiction content in social media. 849-854 - Andriy Shapoval, Eva K. Lee:
Optimizing inpatient bed capacity to improve care delivery. 855-860 - Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei:
An interpretable model for predicting side effects of analgesics for osteoarthritis. 861-864 - Ryan S. Mattfeld, Elliot Jesch, Adam W. Hoover:
A new dataset for evaluating pedometer performance. 865-869 - Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan:
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. 870-873 - Chunlei Tang, Haohan Zhang, Kenneth H. Lai, Yuxuan She, Yun Xiong, Li Zhou:
Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map. 874-879 - Jeffrey Wood, Joseph Finkelstein:
Telerehabilitation system to support multipronged exercise in patients with multiple sclerosis. 880-885 - Yao Jia, Chongyu Zhou, Mehul Motani:
Spatio-temporal autoencoder for feature learning in patient data with missing observations. 886-890 - Qianyi Zhan, Longhai Tan, Sherry Emery, Philip S. Yu, Chongjun Wang:
Community detection on anti-vaping campaign audience. 891-894 - Peng Zhao, Illhoi Yoo:
A self-adaptive 30-day diabetic readmission prediction model based on incremental learning. 895-898 - Tolgahan Cakaloglu:
Medi-Deep: Deep control in a medication usage. 899-904 - Shantanu Dev, Shinan Zhang, Joseph Voyles, Anand S. Rao:
Automated classification of adverse events in pharmacovigilance. 905-909 - Bingbing Liang, Wenyu Fan, Jing Ginger Han, Ning Chen, Nan Zhao:
An implementation of infants' gut microbiome maturation analyses by 16s rRNA from stool samples in extraction solution of room temperature. 910-914 - Qiuping Pan, Lu Zhang, Xintao Wu:
STIP: An SNP-trait inference platform. 915-920 - Rengarajan Pelapur, V. B. Surya Prasath, Juan Carlos Moreno, Michael M. Heck:
3D workflow for segmentation and interactive visualization in brain MR images using multiphase active contours. 921-926 - Zhaohui Xu, Pooja Yadav, Zhizhou Zhang, Sankardas Roy, Huimin Zhang:
Quantification of microbial species in solid state fermentation samples using signature genomic sequences. 927-932 - Chongsheng Zhang, Jingjun Bi, Paolo Soda:
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain. 933-938 - Yiqiang Chen, Xiaodong Yang, Biao Chen, Chunyan Miao, Hanchao Yu:
PdAssist: Objective and quantified symptom assessment of Parkinson's disease via smartphone. 939-945 - Zhenghao Guo, Hailiang Long, Li Yao, Xia Wu, Hanshu Cai:
Abnormal EEG-based functional connectivity under a face-word stroop task in depression. 946-951 - Guannan He, Yanchun Liang, Yan Chen, William Yang, Jun S. Liu, Mary Qu Yang, Renchu Guan:
Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model. 952-957 - Jungming Huang, Xiangmin Xu, Tong Zhang:
Emotion classification using deep neural networks and emotional patches. 958-962 - Zirong Li, Lian Li:
A novel method for lung masses detection and location based on deep learning. 963-969 - Xingwang Liu, Mi Li, Shengfu Lu, Ming Zhang, Dachao Liu, Lei Feng, Bingbing Fu, Gang Wang, Ning Zhong:
Eye movement pattern and mental retardation in depression. 970-974 - Zhenyu Liu, Changcong Li, Xiang Gao, Gang Wang, Jing Yang:
Ensemble-based depression detection in speech. 975-980 - Xun Pu, Jinghang Chen, Edwin Tawanda Mudzingwa, Chengyang Jing, Yuan Xia, Yusheng Huan, Ping Chen, Tingting Li, Kun Lu, Le Zhang:
Developing a localized web server for survival, generic and protein data analysis with high performance computing technology. 981-985 - Jingying Wang, Xiaoyun Sui, Tingshao Zhu, Jonathan Flint:
Identifying comorbidities from depressed people via voice analysis. 986-991 - Subrata Acharya, Yuehan Yin, Alexander Mak:
Towards the design of a secure and compliant framework for OpenEMR. 992-999 - Arnab Chattaraj, Arpita Das, Mahua Bhattacharya:
Mammographic image segmentation by marker controlled watershed algorithm. 1000-1003 - Vivek V. Datla, Sadid A. Hasan, Ashequl Qadir, Kathy Lee, Yuan Ling, Joey Liu, Oladimeji Farri:
Automated clinical diagnosis: The role of content in various sections of a clinical document. 1004-1011 - Rayan Gargees, James Keller, Mihail Popescu:
Early illness recognition in older adults using transfer learning. 1012-1016 - Wenpeng Guo, Li Tang, Jiaxin Li, Yip Sheung, Yanxia Shang, Xiaoxia Chi, Litao Pan, Zhibin Rong:
Biomedical analysis of HbA1c based on microfluidic chips. 1017-1020 - Sunhao Hu, Lu Lu, Xinbin Jin, Yinyin Jiang, Haowen Zheng, Qiufan Xu, Fangfang Cai, Yu Meng, Changjiang Zhang:
The recommender system for a cloud-based electronic medical record system for regional clinics and health centers in China. 1021-1024 - Mingzhe Jiang, Riitta Mieronkoski, Amir M. Rahmani, Nora Hagelberg, Sanna Salanterä, Pasi Liljeberg:
Ultra-short-term analysis of heart rate variability for real-time acute pain monitoring with wearable electronics. 1025-1032 - Eva K. Lee, Andriy Shapoval, Zixing Wang:
Inpatient bed management to improve care delivery. 1033-1039 - Eva K. Lee, Yuanbo Wang, Robert A. Davis, Brent M. Egan:
Designing a low-cost adaptable and personalized remote patient monitoring system. 1040-1046 - Xuemeng Li, Jinghui Yu, Mei Li, Dongsheng Zhao:
Discover high-risk factor combinations using Bayesian network from national screening data in China. 1047-1051 - Hailiang Long, Zhenghao Guo, Xia Wu, Bin Hu, Zhenyu Liu, Hanshu Cai:
Detecting depression in speech: Comparison and combination between different speech types. 1052-1058 - Patrick McAllister, Anne Moorhead, Raymond R. Bond, Huiru Zheng:
Automated adjustment of crowdsourced calorie estimations for accurate food image logging. 1059-1066 - Sharifa Mohamed, Bing Quan Huang, M. Tahar Kechadi:
Prediction of NB-UVB phototherapy treatment response of psoriasis patients using data mining. 1067-1071 - Lucas E. S. Oliveira, Caroline P. Gebeluca, Adalniza Moura Pucca da Silva, Claudia M. C. Moro, Sadid A. Hasan, Oladimeji Farri:
A statistics and UMLS-based tool for assisted semantic annotation of Brazilian clinical documents. 1072-1078 - Aditya Patel, Izzatbir Singh, Landon Brand, Roheet Rao:
A weighted similarity measure approach to predict intensive care unit transfers. 1079-1084 - Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala:
Supervised approach to rank predicted links using interestingness measures. 1085-1092 - Lu Ren, Xiaofei Zhang, Jingxia Wang, Siyuan Tang, Ni Gong:
Design of hospital beds center management information system based on HIS. 1093-1096 - Eric William Davis Rozier:
Fraise: A framework for predicting peak postprandial blood glucose using personalized data-driven modeling. 1097-1104 - Ravi Shanker, Rahul Singh, Mahua Bhattacharya:
Segmentation of tumor and edema based on K-mean clustering and hierarchical centroid shape descriptor. 1105-1109 - Mukta Sharma, Rahul Singh, Mahua Bhattacharya:
Classification of breast tumors as benign and malignant using textural feature descriptor. 1110-1113 - Sumi Singh, Wu Xu, Vijay V. Raghavan:
Descriptor based protein structure representation using triangular spatial relationships in 3-D. 1114-1118 - Phawis Thammasorn, Landon Wootton, Eric Ford, Matthew Nyflot:
Deep convolutional Triplet network for quantitative medical image analysis with comparative case study of gamma image classification. 1119-1122 - Ignacio Tripodi, Kevin Bretonnel Cohen, Lawrence E. Hunter:
A semantic knowledge-base approach to drug-drug interaction discovery. 1123-1126 - Shiyi Wu, Xiangmin Xu, Lin Shu, Bin Hu:
Estimation of valence of emotion using two frontal EEG channels. 1127-1130 - Yuichi Yaguchi, Mai Omura, Takashi Okumura:
Geometrical mapping of diseases with calculated similarity measure. 1131-1134 - Ningzhou Zeng, Guo-Qiang Zhang, Xiaojin Li, Licong Cui:
Evaluation of relational and NoSQL approaches for patient cohort identification from heterogeneous data sources. 1135-1140 - Gongbo Zhang, Moumita Bhattacharya, Heng-Yi Wu, Pengyuan Li, Lang Li, Hagit Shatkay:
Identifying articles relevant to drug-drug interaction: Addressing class imbalance. 1141-1147 - Junping Zhan, Qingliang Meng, Guang Zheng:
Functional protein networks underlying the comorbidity of gout and hyperuricemia. 1148-1153 - Ricardo A. Calix, Ravish Gupta, Matrika Gupta, Keyuan Jiang:
Deep gramulator: Improving precision in the classification of personal health-experience tweets with deep learning. 1154-1159 - Haipeng Chen, Fuhai Xiong, Dihong Wu, Lingxiang Zheng, Ao Peng, Xuemin Hong, Biyu Tang, Hai Lu, Haibin Shi, Huiru Zheng:
Assessing impacts of data volume and data set balance in using deep learning approach to human activity recognition. 1160-1165 - Marcia Hon, Naimul Mefraz Khan:
Towards Alzheimer's disease classification through transfer learning. 1166-1169 - Yasmin M. Kassim, Kannappan Palaniappan:
Extracting retinal vascular networks using deep learning architecture. 1170-1174 - Majdi Maabreh, Basheer Qolomany, James R. Springstead, Izzat Alsmadi, Ajay Gupta:
Deep vs. shallow learning-based filters of MS/MS spectra in support of protein search engines. 1175-1182 - Tejaswini Mallavarapu, Youngsoon Kim, Jung Hun Oh, Mingon Kang:
R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine. 1183-1188 - Rashika Mishra, Ovidiu Daescu:
Deep learning for skin lesion segmentation. 1189-1194 - Ismail Oztel, Gozde Yolcu, Ilker Ersoy, Tommi A. White, Filiz Bunyak:
Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network. 1195-1200 - Vitor Teixeira, Rui Camacho, Pedro G. Ferreira:
Learning influential genes on cancer gene expression data with stacked denoising autoencoders. 1201-1205 - Nawanol Theera-Ampornpunt, Somali Chaterji:
Prediction of enhancer RNA activity levels from ChIP-seq-derived histone modification combinatorial codes. 1206-1214 - Haipeng Wan, Lei Chen, Hong Song, Jian Yang:
Dorsal hand vein recognition based on convolutional neural networks. 1215-1221 - Asami Yonekura, Hiroharu Kawanaka, V. B. Surya Prasath, Bruce J. Aronow, Haruhiko Takase:
Improving the generalization of disease stage classification with deep CNN for Glioma histopathological images. 1222-1226 - Yao-Zhong Zhang, Seiya Imoto, Satoru Miyano, Rui Yamaguchi:
Reconstruction of high read-depth signals from low-depth whole genome sequencing data using deep learning. 1227-1232 - Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve:
Interpretable convolutional neural networks for effective translation initiation site prediction. 1233-1237 - Rashmie Abeysinghe, Licong Cui:
Query-constraint-based association rule mining from diverse clinical datasets in the national sleep research resource. 1238-1241 - Rashmie Abeysinghe, Eugene W. Hinderer, Hunter N. B. Moseley, Licong Cui:
Auditing subtype inconsistencies among gene ontology concepts. 1242-1245 - Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
An exploration of semantic relations in neural word embeddings using extrinsic knowledge. 1246-1251 - Huiqin Chen, Dihua Zhang, Guoping Zhang, Xiaofeng Li, Ying Liang, Mohan Vamsi Kasukurthi, Glen M. Borchert, Jingshan Huang:
MeSH term-based semantic analysis of microRNA regulation on glucocorticoid resistance in pediatric acute lymphoblastic leukemia. 1252-1253 - Jingcheng Du, Yaoyun Zhang, Cui Tao, Hua Xu:
A pilot study of mining association between psychiatric stressors and symptoms in tweets. 1254-1257 - Yadan Fan, Lu He, Rui Zhang:
Evaluating automatic methods to extract patients' supplement use from clinical reports. 1258-1261 - Zhe He, Yehoshua Perl, Gai Elhanan, Yan Chen, James Geller, Jiang Bian:
Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts. 1262-1269 - Huawei Jin, Zhenhua Yu, Xiaodan Wang, Weian Chen, Shaolei Guo, Mohan Vamsi Kasukurthi, Glen M. Borchert, Jingshan Huang:
Computational analysis to discover microRNA biomarkers in glioblastoma. 1270-1271 - Hee-Jin Lee, Yaoyun Zhang, Jun Xu, Cui Tao, Hua Xu, Min Jiang:
Towards practical temporal relation extraction from clinical notes: An analysis of direct temporal relations. 1272-1275 - Haodi Li, Qingcai Chen, Buzhou Tang, Xiaolong Wang:
Chemical-induced disease extraction via convolutional neural networks with attention. 1276-1279 - Rebecca Lin, Muhammad Tuan Amith, Chen Liang, Cui Tao:
Designing an ontology for emotion-driven visual representations. 1280-1283 - Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Amanda Hicks, Jiang Bian:
OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. 1284-1287 - Biyang Yu, Zhe He:
Exploratory textual analysis of consumer health languages for people who are D/deaf and hard of hearing. 1288-1291 - Kaixian Yu, Tingting Zhao, Peixiang Zhao, Jinfeng Zhang:
Extraction of protein-protein interactions using natural language processing based pattern matching. 1292-1295 - Rui Zhang, Sisi Ma, Liesa Shanahan, Jessica Munroe, Sarah Horn, Stuart M. Speedie:
Automatic methods to extract New York heart association classification from clinical notes. 1296-1299 - Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth A. Shenkman, Jiang Bian:
Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival. 1300-1303 - Xinyuan Zhang, Shiqi Wang, Jie Liu, Cui Tao:
Computer-aided diagnosis of four common cutaneous diseases using deep learning algorithm. 1304-1306 - Gionata Fragomeni, Giuseppe Tradigo, Lina Teresa Gaudio, Pierangelo Veltri:
Development of a DSS for cardiovascular prevention and rehabilitation. 1307-1311 - Monica Jha, Pierangelo Veltri, Pietro Hiram Guzzi, Swarup Roy:
Network based algorithms for module extraction from RNASeq data: A quantitative assessment. 1312-1315 - Hazel N. Manners, Ahed Elmsallati, Pietro Hiram Guzzi, Swarup Roy, Jugal K. Kalita:
Performing local network alignment by ensembling global aligners. 1316-1323 - Xiangyi Meng, Quan Zou, Alfonso Rodríguez-Patón, Xiangxiang Zeng:
Iteratively collective prediction of disease-gene associations through the incomplete network. 1324-1330 - Jincai Yang, Fuli Zhang, Xingpeng Jiang, Xianjun Shen, Xiaohua Hu:
Classify and identify the risky loci of type 2 diabetes with computational method. 1331-1337 - Jincai Yang, Chunjie Guo, Xingpeng Jiang, Xiaohua Hu, Xianjun Shen:
Systematic characterization and prediction of tumor-associated genes in mouse using microrna. 1338-1344 - Cai Xiao Hong, Zhao Yu Feng, Chen Xiang Rong, Li Tian, Wei Ya Wei, Ma Li:
The ontology-based knowledge representation modeling of the traditional-Chinese-medicine symptom. 1345-1349 - Wenliang Chen, Song He:
Application of data mining technology in TCM diagnosis and treatment. 1350-1353 - Zehui He, Heng Weng, Aihua Ou, Shixing Yan, Chuanjian Lu, Guo-Zheng Li:
Feature extraction from medical record text for TCM Zheng classification of psoriasis. 1354-1356 - Yuhuan Hong, Huiliang Shang, Huiyu Yang, Qingsheng Kong, Miao Wang, Qian Zhang:
A 3D recognition and projection system for meridians and acupoints. 1357-1363 - Lixing Huang, Jingping Xie, Ruihuan Pan, Hongxia Chen, Mei Li:
Effects on immersion of alternating cooling and heating Chinese medicine combined with acupuncture on treating post-stroke shoulder-hand syndrome. 1364-1368 - Yue-Ming Luo, Heng Weng, Lei Zhang, Juan Wu, Xu-Sheng Liu, Xin-Yi Huang:
Salt restriction: Recognition and treatment of chronic kidney disease related edema in ancient literature mining. 1369-1375 - Bin Nie, Jigen Luo, Jianqiang Du, Lin Peng, Zhuo Wang, Ai Chen:
Improved algorithm of C4.5 decision tree on the arithmetic average optimal selection classification attribute. 1376-1380 - Xiaofang Zhou, Xue Li, Yangyang Hu, Wenqiang Zhang, Fufeng Li:
Lip analysis in traditional Chinese medicine. 1381-1387 - Xue Li, Weifei Zhang, Yangyang Hu, Wenqiang Zhang, Fufeng Li:
Tongue diagnosis management for mobile health in the wild. 1388-1395 - Tao Yang, Kongfa Hu:
Study on clinical terminology extraction of traditional Chinese medicine based on internal aggregation and boundary degree of freedom of character strings. 1396-1399 - La Zhang, Xiaopeng Li, Jiaqi Lai, Lei Zhang:
Bioinformatics databases for network pharmacology research of traditional Chinese medicine: A systematic review. 1400-1404 - Hong Zhang, Wandong Ni:
Applications of IoT technology to the constructions of hospital information systems. 1405-1408 - Xiaofei Zhang, Lingli Dai, Lu Ren, Siyuan Tang:
Occupation exposure declaration and monitoring information system design and application for medical staff. 1409-1412 - Guang Zheng, Yun Yang, Chengqiang Li, Hongtao Guo:
Functional protein-protein interaction networks regulated by 6-gingerol targeting stomach and small intestine. 1413-1419 - Carlo Bianca, Giuseppe Maria Gallo, Santo Motta:
Tumor escape: A mathematical model. 1420-1424 - Carla Rezende Barbosa Bonin, Guilherme Côrtes Fernandes, Rodrigo Weber dos Santos, Marcelo Lobosco:
A simplified mathematical-computational model of the immune response to the yellow fever vaccine. 1425-1432 - Filippo Castiglione, Dario Ghersi, Franco Celada:
In-silico analysis of the "memory anti-Naïve" effect in anti-viral cross-reactive responses. 1433-1437 - Giorgia Chivassa, Chiara Fornari, Roberta Sirovich, Marzio Pennisi, Marco Beccuti, Francesca Cordero:
A mathematical model to study breast cancer growth. 1438-1445 - Winston A. Haynes, Francesco Vallania, Purvesh Khatri:
Complementing single-cell RNA-seq using bulk transcriptional profiles. 1446-1450 - Jean-François Mascari, Damien Giacchero, Nikolaos Sfakianakis:
Symetries and asymetries of the immune system response: A categorification approach. 1451-1454 - Marzio Pennisi, Juan A. Sanchez-Lantaron, Pedro A. Reche, Giulia Russo, Francesco Pappalardo:
Optimization and analisys of vaccination schedules using simulated annealing and agent based models. 1455-1460 - Juan A. Sanchez-Lantaron, Pedro A. Reche, Marzio Pennisi, Giulia Russo, Francesco Pappalardo:
Introducing scale factor adjustments on agent-based simulations of the immune system. 1461-1468 - Ping Zhang, Amanda J. Cox, Allan Cripps, Nicholas P. West:
Integrated biomedical data analysis utilizing various types of data for biomarkers identification. 1469-1475 - Micael P. Xavier, Carla Rezende Barbosa Bonin, Rodrigo Weber dos Santos, Marcelo Lobosco:
On the use of Gillespie stochastic simulation algorithm in a model of the human immune system response to the Yellow Fever vaccine. 1476-1482 - Guanglan Zhang, Derin B. Keskin, James A. DeCaprio, Catherine J. Wu, Lou Chitkushev, Vladimir Brusic:
MCVdb: A database for knowledge discovery in Merkel cell polyomavirus with applications in T cell immunology and vaccinology. 1483-1488 - Jiazhen Liu, Sinan Zhu, Joseph Finkelstein:
Pharmacogenomic-based medication risk assessment in people with polypharmacy. 1489-1494 - Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu:
Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. 1495-1500 - Rongzhen Yan, Chunshan Li, Dianhui Chu:
The design and implementation of the elderly healthcare information mining platform. 1501-1506 - Vijaya Kumari Yeruva, Sidrah Junaid, Yugyung Lee:
Exploring social contextual influences on healthy eating using big data analytics. 1507-1514 - Zhehuan Zhao, Zhihao Yang, Cong Sun, Lei Wang, Hongfei Lin:
A hybrid protein-protein interaction triple extraction method for biomedical literature. 1515-1521 - Sehrish Kanwal, Andrew Lonie, Richard O. Sinnott:
Digital reproducibility requirements of computational genomic workflows. 1522-1529 - Emilie Renard, Pierre-Antoine Absil:
Comparison of location-scale and matrix factorization batch effect removal methods on gene expression datasets. 1530-1537 - Frank Taubert, H. Martin Bücker:
On the reproducibility of biological image workflows by annotating computational results automatically. 1538-1545 - Truong X. Tran, Ramazan S. Aygün, Marc L. Pusey:
Classifying protein crystallization trial images using subordinate color channel. 1546-1553 - Subrata Acharya, Anoli Patel:
Towards the design of a comprehensive data de-identification solution. 1554-1561 - Shantanu Dev, Shinan Zhang, Joseph Voyles, Anand S. Rao:
Automated classification of adverse events in pharmacovigilance. 1562-1566 - Joseph Finkelstein, Sinan Zhu:
Phenotyping physicians with frequent malpractice claims. 1567-1570 - Danny Habamwabo, Bertin Akim Mpagazi:
Drug accessibility and availability tool: Case of Rwanda. 1571-1575 - Freeson Kaniwa, Otlhapile Dinakenyane, Venu Madhav Kuthadi:
Parallel algorithm for indexing large DNA sequences using MapReduce on Hadoop. 1576-1582 - Liangcan Liao, Guitao Cao, Wenming Cao:
Action recognition based on depth image sequence. 1583-1587 - Karen Lin, Joseph Finkelstein:
Patient empowerment in online support group for temporomandibular disorder. 1588-1593 - Lincoln Sheets, Kayson Lyttle, Lori L. Popejoy, Gregory F. Petroski, Joshua Geltman, Abu Saleh Mohammad Mosa, Katie Wilkinson, Jerry C. Parker:
The impact of risk stratification on care coordination. 1594-1598 - Rosa Sicilia, Stella Lo Giudice, Yulong Pei, Mykola Pechenizkiy, Paolo Soda:
Health-related rumour detection on Twitter. 1599-1606 - Heng Zhang, Libo Zhang, Da Cheng, Yanjun Wu, Chen Zhao:
EpCom: A parallel community detection approach for epidemic diffusion over social networks. 1607-1614 - Annabella Astorino, Antonio Fuduli, Pierangelo Veltri, Eugenio Vocaturo:
On a recent algorithm for multiple instance learning. Preliminary applications in image classification. 1615-1619 - Gionata Fragomeni, Lina Teresa Gaudio, Michela Destito, Pierangelo Veltri, Salvatore De Rosa, Ciro Indolfi:
Development and testing of the application based on coronary artery diseases (CAD). 1620-1625 - Yu Geng, Zhongmeng Zhao, Zhaofang Du, Yixuan Wang, Tian Zheng, Siyu He, Xuanping Zhang, Jiayin Wang:
A crowdsourcing method for correcting sequencing errors for the third-generation sequencing data. 1626-1633 - Pasquale Iaquinta, Miriam Iusi, Luciano Caroprese, S. Turano, Sergio Palazzo, Francesco Dattola, Ivana Pellegrino, Giuseppe Tradigo, Giuseppe Lucio Cascini, Pierangelo Veltri, Ester Zumpano:
eIMES 3D mobile: A mobile application for diagnostic procedures. 1634-1641 - Domenico Mirarchi, Patrizia Vizza, Pietro Cinaglia, Giuseppe Tradigo, Pierangelo Veltri:
mEEG: A system for electroencephalogram data management and analysis. 1642-1646 - Elham Rastegari, Vivien Marmelat, Lotfollah Najjar, Dhundy Bastola, Hesham H. Ali:
Using gait parameters to recognize various stages of Parkinson's disease. 1647-1651 - Gozde Yolcu, Ismail Oztel, Serap Kazan, Cemil Öz, Kannappan Palaniappan, Teresa E. Lever, Filiz Bunyak:
Deep learning-based facial expression recognition for monitoring neurological disorders. 1652-1657 - Qiong Cheng, Oleg Ursu, Tudor I. Oprea, Stephan C. Schürer:
Learning reference-enriched approach towards large scale active ontology alignment and integration. 1658-1663 - Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang:
Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data. 1664-1669 - Xiaotian Hao, Jianye Hao, Wang Li:
Effective norm emergence in cell systems under limited communication. 1670-1673 - Jiajie Peng, Weiwei Hui, Xuequn Shang:
Measuring phenotype-phenotype similarity through the interactome. 1674-1677 - Shiquan Sun, Xifang Sun, Yan Zheng:
Higher-order partial least squares for predicting gene expression levels from chromatin states. 1678-1683 - Huaixiao Tou, Lu Yao, Zhongyu Wei:
Automatic infection detection based on electronic medical records. 1684-1687 - Zhenxing Wang, Yan-Shuo Chu, Yongtian Wang, Yadong Wang:
A framework for analyzing DNA methylation data from Illumina Infinium HumanMethylation450 BeadChip. 1688-1693 - Lingling Zhao, Tianyi Zhao, Yang Hu:
Identifying diseases-related metabolites based on network. 1694-1697 - Atlas Khan, Kai Wang:
A deep learning based scoring system for prioritizing susceptibility variants for mental disorders. 1698-1705 - Joseph Huang, Collin Rapp, Young-Rae Cho:
Mining cross-ontology weighted association rules between GO and HPO. 1706-1711 - Grogan W. Huff, Kathryn M. Cooper:
Correlation networks: Biologically driven relationships from gene expression data. 1712-1715 - Qianran Li, Kathryn M. Cooper:
Analysis of structural measurements in correlation networks built from gene expression data across different tissue types in Mus musculus. 1716-1722 - Somadina Mbadiwe, Wooyoung Kim:
ParaMODA: Improving motif-centric subgraph pattern search in PPI networks. 1723-1730 - Bassam Qormosh, Eihab El Radie, Saeed Salem:
Classifying gene coexpression networks using state subnetworks. 1731-1735 - Eihab El Radie, Saeed Salem:
Mining quasi frequent coexpression subnetworks. 1736-1740 - Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng:
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. 1741-1745 - Jiang Xie, Jiaxin Li, Jiao Wang, Qing Nie, Wu Zhang:
A global biomolecular network alignment method based on network flow model. 1746-1751 - Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu:
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. 1752-1756 - Sunghwan Bae, Taesung Park:
Risk prediction using common and rare genetic variants: Application to Type 2 diabetes. 1757-1760 - Hyeonseong Jeon, Suh-Ryung Kim, Yun Joo Yoo:
Topological properties of protein interaction network and phylogenetic age of proteins. 1761-1768 - Yongjun Jo, Taesung Park:
Sample size calculation for comparing multiple groups in cross-over designs. 1769-1771 - Yoojung Lee, Hyein Kim, Taesung Park, Mira Park:
Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. 1772-1776 - Chanyoung Lee, Seungyeoun Lee, Taesung Park:
A comparison study of statistical methods for the analysis metagenome data. 1777-1781 - Sungjin Park, Seungyoon Nam:
A mutational co-occurrence network of a stomach adenocarcinoma using an association index. 1782-1786 - Suganya Chandrababu, Dhundy R. Bastola:
CuHerbDB- for pharmacogenomics and study of phytochemicals in culinary and medicinal herbs. 1787-1794 - Ika Novita Dewi, Shoubin Dong, Jinlong Hu:
Drug-drug interaction relation extraction with deep convolutional neural networks. 1795-1802 - Jiazhen Liu, Joseph Finkelstein:
Introducing pharmacogenomic decision support for medication risk assessment in people with polypharmacy. 1803-1808 - Aleksandar Poleksic, Carson Turner, Rishabh Dalal, Paul Gray, Lei Xie:
Mining FDA resources to compute population-specific frequencies of adverse drug reactions. 1809-1814 - Don Krieger, Paul Shepard, Ben Zusman, Anirban Jana, David O. Okonkwo:
Shared high value research resources: The CamCAN human lifespan neuroimaging dataset processed on the open science grid. 1815-1822 - Kan Liu, Shangang Jia, Qian Du, Chi Zhang:
NanoAsPipe: A transcriptome analysis and alternative splicing detection pipeline for MinION long-read RNA-seq. 1823-1826 - William L. Poehlman, Mats Rynge, D. Balamurugan, Nicholas Mills, Frank Alex Feltus:
OSG-KINC: High-throughput gene co-expression network construction using the open science grid. 1827-1831 - Milad Ghiasi Rad, Aditya Immaneni, Megan McCabe, Massimiliano Pierobon, Juan Cui:
A simulation model of glucose-insulin metabolism and implementation on OSG. 1832-1839 - Mohammadhossein Saadatzi, Anne K. Silverman, Ozkan Celik:
Using high-throughput computing for dynamic simulation of bipedal walking. 1840-1845 - Jiang Shu, Juan Cui:
MiRDR-OSG: MicroRNA dynamic regulation analysis utilizing open science grid. 1846-1851 - Rohita Sinha, Jennifer Clarke:
When technology meets technology: Retrained 'Inception V3' classifier for NGS based pathogen detection. 1852-1856 - Eric L. Brooks, Ryan D. Kappedal:
Compressive sampling for phenotype classification. 1857-1863 - Kalpdrum Passi, Abdala Nour, Chakresh Kumar Jain:
Markov blanket: Efficient strategy for feature subset selection method for high dimensional microarray cancer datasets. 1864-1871 - Aaron N. Richter, Taghi M. Khoshgoftaar:
Predicting sentinel node status in melanoma from a real-world EHR dataset. 1872-1878 - Jian Shen, Shengjie Zhao, Yuan Yao, Yue Wang, Lei Feng:
A novel depression detection method based on pervasive EEG and EEG splitting criterion. 1879-1886 - Tuan Tran, Chinwe Ekenna:
Metabolic pathway and graph identification of new potential drug targets for Plasmodium Falciparum. 1887-1893 - Yu Zhao, Zhijun Yao, Weihao Zheng, Jing Yang, Zhijie Ding, Mi Li, Shengfu Lu:
Predicting MCI progression with individual metabolic network based on longitudinal FDG-PET. 1894-1899 - Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang:
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. 1900-1905 - Che-Lun Hung, Chuan Yi Tang:
Bioinformatics tools with deep learning based on GPU. 1906-1908 - Majdi Maabreh, Basheer Qolomany, Izzat Alsmadi, Ajay Gupta:
Deep learning-based MSMS spectra reduction in support of running multiple protein search engines on cloud. 1909-1914 - Scott P. Morton, Julie B. Phillips, Joshua L. Phillips:
High-throughput structural modeling of the HIV transmission bottleneck. 1915-1922 - Sandino Vargas Perez, Fahad Saeed:
Scalable data structure to compress next-generation sequencing files and its application to compressive genomics. 1923-1928 - Fernanda Hondo, Polyane Wercelens, Waldeyr Mendes Cordeiro da Silva, Klayton Castro, Ingrid Santana, Maria Emília Telles Walter, Aletéia Patrícia Favacho de Araújo, Maristela Holanda, Sérgio Lifschitz:
Data provenance management for bioinformatics workflows using NoSQL database systems in a cloud computing environment. 1929-1934 - Kazuki Yasui, Fumihiko Ino:
Accelerating scoring computation of Smith-Waterman algorithm with mixed word length. 1935-1940 - Giuseppe Agapito, Mario Cannataro:
A software pipeline for multiple microarray data analysis. 1941-1944 - Riasat Khan, Kwong T. Ng:
Higher order finite difference modeling of cardiac propagation. 1945-1951 - Menglu Li, Siu-Ming Yiu, Ting-Fung Chan, Ernest T. Lam:
An iterative algorithm for de novo optical map assembly. 1952-1958 - Hamidreza Mohebbi, Amir Vajdi, Nurit Haspel, Dan A. Simovici:
Detecting chromosomal structural variation using jaccard distance and parallel architecture. 1959-1964 - Eihab El Radie, Saeed Salem:
A parallel algorithm for mining maximal frequent subgraphs. 1965-1971 - Adam A. Smith, Drew Kristensen:
Deep learning to extract laboratory mouse ultrasonic vocalizations from scalograms. 1972-1979 - Xuanping Zhang, Hengwei Chen, Rong Zhang, Jingwen Pei, Yixuan Wang, Zhongmeng Zhao, Yi Huang, Jiayin Wang:
Detecting complex indels with wide length-spectrum from the third generation sequencing data. 1980-1987 - Chiara Zucco, Barbara Calabrese, Mario Cannataro:
Sentiment analysis and affective computing for depression monitoring. 1988-1995 - Thilo Böhm, Felix Engel, Danilo Bzdok, Frank Schneider, Matthias L. Hemmje:
Approach to semi-automatic labeling of video sequences for affective computing-enabling the comprehensive assessment of emotion detection software from mimics. 1996-2000 - Jonny O'Dwyer, Ronan Flynn, Niall Murray:
Continuous affect prediction using eye gaze and speech. 2001-2007 - Felix Engel, Alphonsus Keary, Kevin Berwind, Marco Xaver Bornschlegl, Matthias L. Hemmje:
The role of reproducibility in affective computing. 2008-2014 - Michael Healy, Paul Walsh:
Detecting demeanor for healthcare with machine learning. 2015-2019 - Zhenyu Liu, Huanyu Kang, Lei Feng, Lan Zhang:
Speech pause time: A potential biomarker for depression detection. 2020-2025 - Maurice D. Mulvenna, Huiru Zheng, Raymond R. Bond, Patrick McAllister, Haiying Wang, Ruben Riestra:
Participatory design-based requirements elicitation involving people living with dementia towards a home-based platform to monitor emotional wellbeing. 2026-2030 - Hong Peng, Yongzong Wang, Jinlong Chao, Xiaoning Huo, Dennis Majoe:
Stability study of the optimal channel selection for emotion classification from EEG. 2031-2036 - Anas Samara, Leo Galway, Raymond R. Bond, Hui Wang:
Tracking and evaluation of pupil dilation via facial point marker analysis. 2037-2043 - Panpan Wang, Yazhou Zhang, Xiang Li, Yuexian Hou, Dawei Song:
Does tang poetry affect human emotional state? A pilot study by EEG. 2044-2047 - Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu:
The modularity of microbial interaction network in healthy human saliva: Stability and specificity. 2048-2053 - Jiandong Huang, Huiru Zheng, Haying Wang, Xingpeng Jiang:
Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study. 2054-2061 - Suyeon Kim, Ishwor Thapa, Guoqing Lu, Lifeng Zhu, Hesham H. Ali:
A systems biology approach for modeling microbiomes using split graphs. 2062-2068 - Julia D. Warnke-Sommer, Hesham H. Ali:
Evaluation of the oral microbiome as a biomarker for early detection of human oral carcinomas. 2069-2076 - Paul Walsh, Cintia C. Palu, Brian Kelly, Brendan Lawlor, Jyotsna Talreja Wassan, Huiru Zheng, Haiying Wang:
A metagenomics analysis of rumen microbiome. 2077-2082 - Bidhan Bhattarai, Midusha Shrestha, Ramazan S. Aygün, Marc L. Pusey:
Optimizing genetic algorithm for protein crystallization screening using an exploratory fitness function. 2083-2090 - Qiong Cheng, Felix A. Lopez, Celia Duran, Christopher Camarillo, Tudor I. Oprea, Stephan C. Schürer:
The ontology reference model for visual selectivity analysis in drug-target interactions. 2091-2097 - Alex S. Felmeister, Angela J. Waanders, Sarah E. S. Leary, Jeff Stevens, Jennifer L. Mason, Rachel Teneralli, Xiaohua Hu, L. Charles Bailey:
Preliminary exploratory data analysis of simulated national clinical data research network for future use in annotation of a rare tumor biobanking initiative. 2098-2104 - Longlong Liao, Kenli Li, Keqin Li, Qi Tian, Canqun Yang:
Automatic density clustering with multiple kernels for high-dimension bioinformatics data. 2105-2112 - Akram Marseet, Shitij Kumar, Ferat Sahin:
Low computational complexity classifier based on the maximum relative global peak for the classification of EOG signals. 2113-2119 - Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debdoot Sheet:
Object detection technique for malaria parasite in thin blood smear images. 2120-2123 - Jiang Xie, Haitao Wang, Jiyuan Zhang, Chao Meng, Yanyan Kong, Shanping Mao, Lingyu Xu, Wu Zhang:
A novel hybrid subset-learning method for predicting risk factors of atherosclerosis. 2124-2131 - Zeyu Zheng, Karen Ruggiero:
Using machine learning to predict obesity in high school students. 2132-2138 - Rodrigo F. Almeida, Waldeyr Mendes Cordeiro da Silva, Klayton Castro, Maria Emília Telles Walter, Aletéia Patrícia Favacho de Araújo, Maristela Holanda, Sérgio Lifschitz:
AProvBio: An architecture for data provenance in bioinformatics workflows using graph database. 2139-2144 - Jennifer Chang, Hui-Hsien Chou:
Cavatica: A pipeline for identifying author adoption trends among software or methods. 2145-2150 - Kathryn M. Cooper, Wail Hassan, Hesham Ali:
A network-based approach to mine temporal genes exhibiting significant expression variation in Caenorhabditis elegans. 2151-2156 - Mariah M. Hoffman, Carrie J. Minette, Shanta M. Messerli, Ratan D. Bhardwaj, Etienne Z. Gnimpieba:
NanoStringBioNet: Integrated R framework for bioscience knowledge discovery from NanoString nCounter data. 2157-2162 - Gaurav Kandoi, Julie A. Dickerson:
Differential alternative splicing patterns with differential expression to computationally extract plant molecular pathways. 2163-2170 - Chunfei Li, Chen Fang, Mercedes Cabrerizo, Armando Barreto, Jean Andrian, Ranjan Duara, David A. Loewenstein, Malek Adjouadi:
Pattern analysis of the interaction of regional amyloid load, cortical thickness and APOE genotype in the progression of Alzheimer's disease. 2171-2176 - Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie:
VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease. 2177-2182 - Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang:
A convex multi-view low-rank sparse regression for feature selection and clustering. 2183-2186 - Saurav Mallik, Zhongming Zhao:
TrapRM: Transcriptomic and proteomic rule mining using weighted shortest distance based multiple minimum supports for multi-omics dataset. 2187-2194 - Yan-Shuo Chu, Ling Wang, Rongjie Wang, Mingxiang Teng, Yadong Wang:
Pysubsim-tree: A package for simulating tumor genomes according to tumor evolution history. 2195-2197 - Silu Zhang, Yin-yuan Mo, Torumoy Ghoshal, Dawn Wilkins, Yixin Chen, Yunyun Zhou:
Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study. 2198-2203 - Xuanping Zhang, Mingzhe Xu, Yixuan Wang, Aiqing Gao, Zhongmeng Zhao, Yi Huang, Xiao Xiao, Jiayin Wang:
An graph-based algorithm for prioritizing cancer susceptibility genes from gene fusion data. 2204-2210 - Guang Zheng, Nannan Wang, Hongtao Guo:
Digestive functions regulated by 6-shogaol towards stomach and small intestine. 2211-2217 - Asma Ben Abacha, Alba Garcia Seco de Herrera, Ke Wang, L. Rodney Long, Sameer K. Antani, Dina Demner-Fushman:
Named entity recognition in functional neuroimaging literature. 2218-2220 - Sadia Akter, Gil Wilshire, J. Wade Davis, John Bromfield, Sarah Crowder, Trupti Joshi, Katherine Pelch, Danny J. Schust, Angela Meng, Bret Barrier, Susan C. Nagel:
A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. 2221-2223 - Hakimeh Ameri, Kathryn M. Cooper:
A compartmental network model for the spread of whooping cough. 2224-2225 - Sairam Behera, Adam Voshall, Jitender S. Deogun, Etsuko N. Moriyama:
Performance comparison and an ensemble approach of transcriptome assembly. 2226-2228 - Almog Boanos, Anitha Sri Mothukuri, Kaitlin A. Goettsch, Dhundy Kiran Bastola:
Investigation and utilization of personal food computers for research in drug development and biomedicine. 2229-2231 - Vi Dam, Hesham H. Ali:
On the integration of assembly and non-assembly approaches for comparing biological sequences. 2232-2234 - Pasan C. Fernando, Laura M. Jackson, Erliang Zeng, Paula M. Mabee, James P. Balhoff:
A generic bioinformatics pipeline to integrate large-scale trait data with large phylogenies. 2235-2237 - Rastislav Galvanek, David Hoksza:
Template-based prediction of RNA tertiary structure using its predicted secondary structure. 2238-2240 - Hongwei Ge, Liang Sun, Yao Yao, Jinghong Yu:
An automatic motif recognition algorithm in DNA sequences based on particle swarm optimization and random projection. 2241-2243 - Timothy L. Haithcoat, Chi-Ren Shyu:
Geospatial health context table. 2244-2246 - Joshua Herndon, Sumi Singh:
Protein structural domain prediction based on dihedral and geometric angles. 2247-2249 - Pengwei Hu, Keith C. C. Chan, Lun Hu, Henry Leung:
Discovering second-order sub-structure associations in drug molecules for side-effect prediction. 2250-2253 - S. M. Ashiqul Islam, Christopher Michel Kearney, Erich J. Baker:
CSPred: A machine-learning-based compound model to identify the functional activities of biologically-stable toxins. 2254-2255 - Petr Skoda, David Hoksza, Jan Jelínek:
Platform for ligand-based virtual screening integration. 2256-2259 - Yuexu Jiang, Yanchun Liang, Duolin Wang, Dong Xu, Trupti Joshi:
IMPRes: Integrative MultiOmics pathway resolution algorithm and tool. 2260 - Dongwon Kang, Jinseung Choi, Jeongwoo Seo, Gyerae Tack:
Fall prediction model for the elderly using postural sway. 2261-2263 - Alisa Kazarina, Ilva Pole, Viktorija Leonova, Viktorija Igumnova, Janis Kimsis, Valentina Capligina, Renate Ranka, Guntis Gerhards, Elina Petersone-Gordina:
Insights into archaeological human sample microbiome using 16S rRNA gene sequencing. 2264-2266 - Saad M. Khan, Gavin C. Conant, Dong Xu:
Effects of evolutionary pressure on histone modifications. 2267 - Geervani Koneti, Narayanan Ramamurthi:
"Parallelized variable selection and modeling based on prediction" algorithm on GPU for feature selection and ADMET model generation. 2268-2269 - Geervani Koneti, Dipayan Ghosh, Narayanan Ramamurthi:
Classification models for CaCo-2 permeability using chemical information and machine learning techniques: Scope and limitations. 2270-2271 - Rohan Koodli:
On the robustness of mixture model-based unsupervised learning in single-cell analyses. 2272-2274 - Mikhail Kovalenko, Richard D. Hammer, Dmitriy Shin:
Quantification of visual diagnostic heuristics during simulated pathology diagnosis. 2275-2277 - Radoslav Krivák, David Hoksza, Petr Skoda:
Improving quality of ligand-binding site prediction with Bayesian optimization. 2278-2279 - Yang Liu, Duolin Wang:
Application of deep learning in genomic selection. 2280 - Zhen Lyu, Shuai Zeng, Trupti Joshi:
Enabling precision medicine with CancerKB and KBCommons informatics framework. 2281 - Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Halima Bensmail, Michele Ceccarelli:
An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity. 2282-2284 - Siva Ratna Kumari Narisetti, Shuai Zeng, Zhen Lyu, Trupti Joshi:
Development of "KBCommons" - universal informatics framework for multi-omics translational research. 2285-2286 - Greg Ostroy, Diana Prieto, Yuwen Gu, Elise de Doncker, Rajib Paul:
Flu MODELO 1.0: A simulation model and graphic interface for training and decision support for influenza management. 2287-2289 - Ali Foroughi Pour, Lori A. Dalton:
Optimal Bayesian feature filtering for single-nucleotide polymorphism data. 2290-2292 - V. B. Surya Prasath, Hiroharu Kawanaka:
Near-light perspective shape from shading for 3D visualizations in endoscopy systems. 2293-2295 - Chunhui Xu, Wangren Qiu, Xuan Xiao, Dong Xu:
Computational prediction of ubiquitination protein using evolutionary profiles and functional domains. 2296 - Murugesan Raju, Danlu Liu, Frederick W. Fraunfelder, Chi-Ren Shyu:
Discovering multifactorial associations with the development of age-related cataract using contrast mining. 2297-2299 - Sidharth Sen, Mary Galli, Andrea Gallavotti, Trupti Joshi:
Development of an informatics analytics workflow for DAP-seq data exploration and validation for auxin response factors in maize. 2300-2301 - Penghui Shang, Duolin Wang, Dongpeng Liu, Dong Xu:
A deep-learning framework for amidation site prediction. 2302 - Asuda Sharma, Hesham H. Ali:
Analysis of clustering algorithms in biological networks. 2303-2305 - Midusha Shrestha, Bidhan Bhattarai, Ramazan S. Aygün, Marc L. Pusey:
Schema matching and data integration on protein crystallization screens. 2306-2308 - Rebecca Shyu, Timothy L. Haithcoat, Mirna Becevic:
Spatial association mining between melanoma prevalence rates, risk factors, and healthcare disparities. 2309-2311 - Matthew Spencer, Jacob Gotberg, Chi-Ren Shyu:
Quasi-palindrome effects on DNA sequence evolution. 2312-2314 - Lingtao Su, Dong Xu, Guixia Liu:
A new method for disease-related gene prioritization. 2315 - Suraj Subedi, Marc L. Pusey, Ramazan S. Aygün:
Visual-X2: Scoring and visualization tool for analysis of protein crystallization trial images. 2316-2318 - Thanh Thieu, Jonathan Camacho, Pei-Shu Ho, Julia Porcino, Min Ding, Lisa Nelson, Elizabeth Rasch, Chunxiao Zhou, Leighton Chan, Diane Brandt, Denis Newman-Griffis, Ao Yuan, Albert M. Lai:
Inductive identification of functional status information and establishing a gold standard corpus: A case study on the Mobility domain. 2319-2321 - Ehsan Ullah, Raghvendra Mall, Halima Bensmail, Reda Rawi, Saila Shama, Nooral Al Muftah, Ian Richard Thmpson:
Identification of cancer drug sensitivity biomarkers. 2322-2324 - Ijeoma C. Uzoma, E. Nna:
Detection and quantitation of BCR-ABL1 fusion gene in saliva of chronic myeloid leukaemic patients in Nigeria. 2325 - Juexin Wang, Zhen Lyu, Shakhawat Hossain, Gary Stacey, Dong Xu, Trupti Joshi:
SoyTSN: A web-based prediction tool for soybean tissue specific network within SoyKB. 2326 - Duolin Wang, Dongpeng Liu:
MusiteDeep: A deep-learning framework for protein post-translational modification site prediction. 2327 - Liang Chen, Garry Wong:
Novel tumor biomarker based on isomiR expression profiles. 2328-2329 - Xi Wu, Xu Chen, You Duan, Shengqiang Xu, Nan Cheng, Ning An:
A study on gait-based Parkinson's disease detection using a force sensitive platform. 2330-2332 - Bi Zhao, Bin Xue:
Measuring the inter-sample heterogeneity by dynamic PCA biplot. 2333-2335 - Shuai Zeng, Siva Ratna Kumari Narisetti, Zhen Lyu, Trupti Joshi:
KBCommons: A multi 'OMICS' integrative framework for database and informatics tools. 2336 - Mingchao Zhou, Shanshan Ling, Hongxia Chen, Ruihuan Pan:
Inhibition of notch signaling pathways contribute to neuroprotection effect by the combination of astragalus membranaceus and ligustrazine in rat model after thrombolysis of cerebral ischaemia. 2337-2340
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