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ORCIDYaohang Li
- > Home > Persons > Yaohang Li
Publications
- 2023
[j72]Kunying Niu, Yifan Wu, Yaohang Li, Min Li:
Retrieve and rerank for automated ICD coding via Contrastive Learning. J. Biomed. Informatics 143: 104396 (2023)- [j70]Min Li
, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li:
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 833-842 (2023) - 2022
- [j66]Min Li, Zhangli Lu, Yifan Wu, Yaohang Li:
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. 38(7): 1995-2002 (2022) - [j63]Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li:
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3263-3271 (2022) - [j62]Yifan Wu, Min Zeng, Ying Yu, Yaohang Li, Min Li:
A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics 26(10): 5201-5212 (2022) - [i10]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
- [j60]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) - [j58]Kaili Wang, Renyi Zhou, Yaohang Li, Min Li:
DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. 22(5) (2021) - [j52]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) - [j51]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) - [j50]Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li:
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2208-2217 (2021) - [j49]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) - 2020
- [j48]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) - [j47]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) - [j45]Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 817-827 (2020) - [j43]Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan:
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1451-1458 (2020) - [j42]Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24(8): 2420-2429 (2020) - [j41]Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, Jianxin Wang:
miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics 24(12): 3630-3641 (2020) - 2019
- [j40]Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang:
Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. 2(4): 288-305 (2019) - [j38]Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan:
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. 20-S(16): 506:1-506:10 (2019) - [j37]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li:
Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. 34(1): 3-15 (2019) - [j35]Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 417-424 (2019) - [j34]Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1193-1202 (2019) - [c44]Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li:
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM 2019: 577-582 - 2018
- [j33]Andy Ramlatchan, Mengyun Yang, Quan Liu, Min Li, Jianxin Wang, Yaohang Li:
A survey of matrix completion methods for recommendation systems. Big Data Min. Anal. 1(4): 308-323 (2018) - [j32]Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang:
Computational drug repositioning using low-rank matrix approximation and randomized algorithms. Bioinform. 34(11): 1904-1912 (2018) - [j31]Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang:
Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. 34(19): 3357-3364 (2018) - [c43]Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan:
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM 2018: 583-588 - [c42]Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu, Jianxin Wang:
Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM 2018: 864-868 - [c41]Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) 2018: 223-226 - [c39]Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li:
PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA 2018: 38-48 - 2017
- [c36]Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu:
Relating Diseases Based on Disease Module Theory. ISBRA 2017: 24-33 - [c35]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li:
Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm. ISBRA 2017: 108-119 - 2016
- [j25]Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang, Yaohang Li:
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. BMC Bioinform. 17(S-8): 281 (2016) - [j23]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan:
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206: 50-57 (2016) - [c33]Hao Ji, Seth H. Weinberg, Min Li, Jianxin Wang, Yaohang Li:
An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices. BDCloud-SocialCom-SustainCom 2016: 554-559
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