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ORCID16th ICIC 2020: Bari, Italy
- De-Shuang Huang, Kang-Hyun Jo:
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12464, Springer 2020, ISBN 978-3-030-60801-9
Gene Expression Array Analysis
- Yan Cui, Huacheng Gao, Rui Zhang, Yuanyuan Lu, Yuan Xue, Chun-Hou Zheng:
A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing Map. 3-13 - Jia-Jun Cheng, Bo Li:
Tumor Gene Selection and Prediction via Supervised Correlation Analysis Based F-Score Method. 14-20 - Bolin Chen, Li Gao, Xuequn Shang:
A Machine Learning Based Method to Identify Differentially Expressed Genes. 21-31 - Marta Lovino
, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra:
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models. 32-42
Gene Regulation Modeling and Analysis
- Yan Yan, Xinan Zhang, Tianhai Tian:
Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual Information. 45-56 - Lei Tian, Shu-Lin Wang, Xing Zhong:
Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer. 57-66 - Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification. 67-78 - Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites. 79-89 - Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network. 90-100
Protein-Protein Interaction Prediction
- Tengsheng Jiang, Hongjie Wu, Yuhui Chen, Haiou Li, Jin Qiu, Weizhong Lu, Qiming Fu:
Prediction of Membrane Protein Interaction Based on Deep Residual Learning. 103-108 - Lei Wang, Zhu-Hong You, Xin Yan, Kai Zheng, Zheng-Wei Li:
GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks. 109-120 - Xinke Zhan, Zhuhong You, Changqing Yu, Jie Pan, Ruiyang Li:
Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest. 121-131 - Jie Pan, Zhuhong You, Changqing Yu, Li-Ping Li, Xinke Zhan:
Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform. 132-142
Biomarker Discovery and Detection
- Na Gao, Chen Qiao, Shun Qi, Kai Ren, Jian Chen, Hanfeng Fang:
Biomarkers Selection of Abnormal Functional Connections in Schizophrenia with $ {\mathbf{\ell }}_{{{\mathbf{2, 1 - 2}}}} $-Norm Based Sparse Regularization Feature Selection Method. 145-158
Systems Biology
- Bolin Chen, Teng Wang, Xuequn Shang:
Identification and Analysis of Genes Involved in Stages of Colon Cancer. 161-172
Modeling, Simulation, and Optimization of Biological Systems
- Nimat Ullah, Sander L. Koole, Jan Treur:
Take It or Leave It: - A Computational Model for Flexibility in Decision-Making in Downregulating Negative Emotions. 175-187 - Lin Yuan, Tao Sun, Jing Zhao, Song Liu, Ai-Min Li, Qin Lu, Yu-Shui Geng, Xin-Gang Wang:
A Network-Driven Approach for LncRNA-Disease Association Mapping. 188-197
Intelligent Computing in Computational Biology
- Wei Wang, Jiawei Luo, Cong Shen, Nguyen Hoang Tu:
A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction. 201-215 - Xinguo Lu, Fang Liu, Li Ding, Xinyu Wang, Jinxin Li, Yue Yuan:
An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Structural Perturbation Method. 216-226 - Kai Zheng, Zhu-Hong You, Lei Wang, Hao-Yuan Li, Bo-Ya Ji:
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest. 227-238 - Kai Zheng, Zhu-Hong You, Lei Wang, Leon Wong, Zhan-Heng Chen:
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks. 239-250 - Hsin-Hung Chou, Ching-Tien Hsu, Hao-Ching Wang, Sun-Yuan Hsieh:
A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach. 251-261 - Lin Yuan, Jing Zhao, Tao Sun, Xuesong Jiang, Zhen-Yu Yang, Xin-Gang Wang, Yu-Shui Geng:
LncRNA-Disease Association Prediction Based on Graph Neural Networks and Inductive Matrix Completion. 262-269 - Ji-Ren Zhou, Zhu-Hong You, Li Cheng, Xi Zhou, Hao-Yuan Li:
Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information Network. 270-278 - Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang:
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information. 279-289 - Yujia Gao, Yiqiong Chen, Zhiyu Ma, Tao Zeng, Iftikhar Ahmad, Youhua Zhang, Zhenyu Yue:
Identification of Rice Drought-Resistant Gene Based on Gene Expression Profiles and Network Analysis Algorithm. 290-301 - Wen Li, Shulin Wang, Junlin Xu, Jialiang Yang:
Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. 302-315 - Leon Wong, Zhu-Hong You, Yu-An Huang, Xi Zhou, Mei-Yuan Cao:
A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA Interactions. 316-325 - Zhi-An Huang, Yu-An Huang, Zhu-Hong You, Shanwen Zhang, Changqing Yu, Wenzhun Huang:
Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data. 326-338 - Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo:
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. 339-347 - Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang:
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network. 348-358
Intelligent Computing in Drug Design
- Xiaoli Lin, Minqi Xu, Haiping Yu:
Prediction of Drug-Target Interactions with CNNs and Random Forest. 361-370 - Xin Yan, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng, Mei-Neng Wang:
DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. 371-383 - Xiaozhu Jing, Wei Jiang, Zhongqing Zhang, Yadong Wang, Junyi Li:
HGAlinker: Drug-Disease Association Prediction Based on Attention Mechanism of Heterogeneous Graph. 384-396
Computational Genomics
- Keren He, Ronghui Wu, Zhenghao Zhu, Jinxin Li, Xinguo Lu:
A Probabilistic Matrix Decomposition Method for Identifying miRNA-Disease Associations. 399-410
Artificial Intelligence in Biological and Medical Information Procession
- Heng Li, Yan Hu, Sanqian Li, Wenjun Lin, Peng Liu, Risa Higashita, Jiang Liu:
CT Scan Synthesis for Promoting Computer-Aided Diagnosis Capacity of COVID-19. 413-422 - Bin Yang, Wei Zhang:
Traffic Data Prediction Based on Complex-Valued S-System Model. 423-431 - Jin Sun, Wenzheng Bao, Yi Cao, Yuehui Chen:
Classification of Protein Modification Sites with Machine Learning. 432-445 - Wenzheng Ma, Wenzheng Bao, Yi Cao, Yuehui Chen:
RFQ-ANN: Artificial Neural Network Model for Predicting Protein-Protein Interaction Based on Sparse Matrix. 446-454
Recent Advances in Swarm Intelligence: Computing and Applications
- Xiaobing Gan, Baoyu Xiao:
A Novel Hybrid Algorithm Based on Bacterial Foraging Optimization and Grey Wolf Optimizer. 457-468 - Maja Gulan, Kaishan Huang:
An Analysis of K-Means, Particle Swarm Optimization and Genetic Algorithm with Data Clustering Technique. 469-480 - Xiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li:
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning. 481-492 - Bo-Wei Zhao, Ping Zhang, Zhu-Hong You, Ji-Ren Zhou, Xiao Li:
Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information. 493-501
Machine Learning Techniques in Bioinformatics
- Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi:
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. 505-513 - Chenxia Ren, Pengyong Han, Chandrasekhar Gopalakrishnan, Caixia Xu, Rajasekaran Ramalingam, Zhengwei Li:
Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining. 514-523 - Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You:
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. 524-534
High-Performance Modelling Methods on High-Throughput Biomedical Data
- Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. 537-545
Intelligent Computing and Swarm Optimization
- Lingjie Li, Qiuzhen Lin, Zhong Ming:
A Short Survey of Multi-objective Immune Algorithm Based on Clonal Selection. 549-559 - Shiqiang Wang, Lijia Ma, Xiao Zhang:
Adaptive Artificial Immune System for Biological Network Alignment. 560-570 - Wu Lin, Yuan Li, Naili Luo:
A Novel Decomposition-Based Multimodal Multi-objective Evolutionary Algorithm. 571-582 - Zhichao Huang, Jingkuan Zhang, Lijia Ma, Fubing Mao:
GTCN: Dynamic Network Embedding Based on Graph Temporal Convolution Neural Network. 583-593 - Qiyuan Yu, Shen Zhong, Naili Luo, Peizhi Huang:
Resource Scheduling Algorithm Based on Evolutionary Computation in Dynamic Cloud Environment. 594-606 - Qiuzhen Lin, Chao Hu, Shuo Chen, Peizhi Huang:
An Ensemble Classification Technique for Intrusion Detection Based on Dual Evolution. 607-618
Construction of Large-Scale Heterogeneous Molecular Association Network and Its Application in Molecular Link Prediction
- Xiaojuan Wang, Pengwei Hu, Lun Hu:
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. 621-632
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