• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 64 matches

• 2024
• 
  Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li:
  TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Briefings Bioinform. 25(3) (2024)
• 
  Siyang Cao, Yihao Wei, Zhi Yao, Yaohang Yue, Jiapeng Deng, Huihui Xu, Weibei Sheng, Fei Yu, Peng Liu, Ao Xiong, Hui Zeng:
  A bibliometric and visualized analysis of nanoparticles in musculoskeletal diseases (from 2013 to 2023). Comput. Biol. Medicine 169: 107867 (2024)
• 
  Yaohan Ding, Lesong Jia, Na Du:
  One Size Does Not Fit All: Designing and Evaluating Criticality-Adaptive Displays in Highly Automated Vehicles. CHI 2024: 92:1-92:15
• 
  Kai Zheng, Qilong Feng, Yaohang Li, Qichang Zhao, Jinhui Xu, Jianxin Wang:
  TopoLa: a novel embedding framework for understanding complex networks. CoRR abs/2405.16928 (2024)
• 2023
• 
  Lishen Zhang, Chengqian Lu, Min Zeng, Yaohang Li, Jianxin Wang:
  CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Briefings Bioinform. 24(1) (2023)
• 
  Bin Wang, Kun Liu, Yaohang Li, Jianxin Wang:
  DFHiC: a dilated full convolution model to enhance the resolution of Hi-C data. Bioinform. 39(5) (2023)
• 
  Yunpei Xu, Hong-Dong Li, Cui-Xiang Lin, Ruiqing Zheng, Yaohang Li, Jinhui Xu, Jianxin Wang:
  CellBRF: a feature selection method for single-cell clustering using cell balance and random forest. Bioinform. 39(Supplement-1): 368-376 (2023)
• 
  Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, Jianxin Wang:
  MSDRP: a deep learning model based on multisource data for predicting drug response. Bioinform. 39(9) (2023)
• 
  Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang:
  A Comparison of Topologically Associating Domain Callers Based on Hi-C Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 15-29 (2023)
• 
  Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
  RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2712-2723 (2023)
• 
  Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang:
  AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 852-863 (2023)
• 
  Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang:
  GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1943-1952 (2023)
• 2022
• 
  Zhongjian Cheng, Qichang Zhao, Yaohang Li, Jianxin Wang:
  IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism. Bioinform. 38(17): 4153-4161 (2022)
• 
  Qichang Zhao, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang:
  Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2092-2110 (2022)
• 
  Mengyun Yang, Yaohang Li, Jianxin Wang:
  Feature and Nuclear Norm Minimization for Matrix Completion. IEEE Trans. Knowl. Data Eng. 34(5): 2190-2199 (2022)
• 
  Jiangzhou Ji, Yaohan He, Jinlong Li:
  A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs. CCKS (Evaluation Track) 2022: 39-46
• 
  Keyu Pu, Hongyi Liu, Yixiao Yang, Jiangzhou Ji, Wenyi Lv, Yaohan He:
  CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification. SemEval@NAACL 2022: 1603-1607
• 
  Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li:
  TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. CoRR abs/2208.04314 (2022)
• 2021
• 
  Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang:
  Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. 22(2): 1604-1619 (2021)
• 
  Mengyun Yang, Gaoyan Wu, Qichang Zhao, Yaohang Li, Jianxin Wang:
  Computational drug repositioning based on multi-similarities bilinear matrix factorization. Briefings Bioinform. 22(4) (2021)
• 
  Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang:
  A novel graph attention model for predicting frequencies of drug-side effects from multi-view data. Briefings Bioinform. 22(6) (2021)
• 
  You Zou, Yuejie Zhu, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
  Parallel computing for genome sequence processing. Briefings Bioinform. 22(5) (2021)
• 
  Haochen Zhao, Yaohang Li, Jianxin Wang:
  A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals. Bioinform. 37(18): 2841-2847 (2021)
• 
  Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang:
  De Novo Prediction of Drug-Target Interactions Using Laplacian Regularized Schatten p-Norm Minimization. J. Comput. Biol. 28(7): 660-673 (2021)
• 
  Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
  DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 575-582 (2021)
• 
  Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
  A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 296-305 (2021)
• 
  Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
  DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2353-2363 (2021)
• 
  Jiangzhou Ji, Yaohan He, Jinlong Li:
  A Biaffine Attention-Based Approach for Event Factor Extraction. CCKS (Evaluation Track) 2021: 1-10
• 2020
• 
  Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
  Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36(4): 1114-1120 (2020)
• 
  Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li:
  DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. 21-S(6): 203 (2020)

skipping 34 more matches