Follow
Yaohang Li
Yaohang Li
Department of Computer Science, Old Dominion University
Verified email at cs.odu.edu
Title
Cited by
Cited by
Year
Prediction of lncRNA–disease associations based on inductive matrix completion
C Lu, M Yang, F Luo, FX Wu, M Li, Y Pan, Y Li, J Wang
Bioinformatics 34 (19), 3357-3364, 2018
2592018
Computational drug repositioning using low-rank matrix approximation and randomized algorithms
H Luo, M Li, S Wang, Q Liu, Y Li, J Wang
Bioinformatics 34 (11), 1904-1912, 2018
2302018
Protein–protein interaction site prediction through combining local and global features with deep neural networks
M Zeng, F Zhang, FX Wu, Y Li, J Wang, M Li
Bioinformatics 36 (4), 1114-1120, 2020
2262020
Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world
W He, J Shen, X Tian, Y Li, V Akula, G Yan, R Tao
Industrial management & data systems 115 (9), 1622-1636, 2015
1872015
Biomedical data and computational models for drug repositioning: a comprehensive review
H Luo, M Li, M Yang, FX Wu, Y Li, J Wang
Briefings in bioinformatics 22 (2), 1604-1619, 2021
1642021
Clinical big data and deep learning: Applications, challenges, and future outlooks
Y Yu, M Li, L Liu, Y Li, J Wang
Big Data Mining and Analytics 2 (4), 288-305, 2019
1622019
Automated ICD-9 coding via a deep learning approach
M Li, Z Fei, M Zeng, FX Wu, Y Li, Y Pan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 16 (4 …, 2018
1502018
A survey of matrix completion methods for recommendation systems
A Ramlatchan, M Yang, Q Liu, M Li, J Wang, Y Li
Big Data Mining and Analytics 1 (4), 308-323, 2018
1462018
Drug repositioning based on bounded nuclear norm regularization
M Yang, H Luo, Y Li, J Wang
Bioinformatics 35 (14), i455-i463, 2019
1412019
DeepDSC: A deep learning method to predict drug sensitivity of cancer cell lines
M Li, Y Wang, R Zheng, X Shi, Y Li, F Wu, J Wang
IEEE/ACM transactions on computational biology and bioinformatics, 2019
1282019
Identifying at-risk students for early interventions—A time-series clustering approach
JL Hung, MC Wang, S Wang, M Abdelrasoul, Y Li, W He
IEEE Transactions on Emerging Topics in Computing 5 (1), 45-55, 2015
1242015
DeepDTAF: a deep learning method to predict protein–ligand binding affinity
K Wang, R Zhou, Y Li, M Li
Briefings in Bioinformatics 22 (5), bbab072, 2021
1222021
Predicting drug–target interaction using positive-unlabeled learning
W Lan, J Wang, M Li, J Liu, Y Li, FX Wu, Y Pan
Neurocomputing 206, 50-57, 2016
1042016
AttentionDTA: prediction of drug–target binding affinity using attention model
Q Zhao, F Xiao, M Yang, Y Li, J Wang
2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019
1012019
A deep learning framework for identifying essential proteins by integrating multiple types of biological information
M Zeng, M Li, Z Fei, FX Wu, Y Li, Y Pan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019
982019
DeepFunc: a deep learning framework for accurate prediction of protein functions from protein sequences and interactions
F Zhang, H Song, M Zeng, Y Li, L Kurgan, M Li
Proteomics 19 (12), 1900019, 2019
972019
Context-based features enhance protein secondary structure prediction accuracy
A Yaseen, Y Li
Journal of chemical information and modeling 54 (3), 992-1002, 2014
852014
Computational drug repositioning based on multi-similarities bilinear matrix factorization
M Yang, G Wu, Q Zhao, Y Li, J Wang
Briefings in bioinformatics 22 (4), bbaa267, 2021
832021
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li
Methods 179, 73-80, 2020
822020
Efficient randomized algorithms for the fixed-precision low-rank matrix approximation
W Yu, Y Gu, Y Li
SIAM Journal on Matrix Analysis and Applications 39 (3), 1339-1359, 2018
822018
The system can't perform the operation now. Try again later.
Articles 1–20