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Ye Wang
Ye Wang
Senior Scientist, Biogen
Verified email at biogen.com - Homepage
Title
Cited by
Cited by
Year
cMolGPT: A conditional generative pre-trained transformer for target-specific de novo molecular generation
Y Wang, H Zhao, S Sciabola, W Wang
Molecules 28 (11), 4430, 2023
24*2023
A novel deep learning method for predictive modeling of microbiome data
Y Wang, T Bhattacharya, Y Jiang, X Qin, Y Wang, Y Liu, AJ Saykin, ...
Briefings in bioinformatics 22 (3), bbaa073, 2020
222020
Prospective validation of machine learning algorithms for absorption, distribution, metabolism, and excretion prediction: An industrial perspective
C Fang, Y Wang, R Grater, S Kapadnis, C Black, P Trapa, S Sciabola
Journal of Chemical Information and Modeling 63 (11), 3263-3274, 2023
192023
Exploiting deep transfer learning for the prediction of functional noncoding variants using genomic sequence
L Chen, Y Wang
Bioinformatics, Oxford University Press, 2022
112022
TIVAN: tissue-specific cis-eQTL single nucleotide variant annotation and prediction
L Chen, Y Wang, B Yao, A Mitra, X Wang, X Qin
Bioinformatics 35 (9), 1573-1575, 2019
112019
Performance modeling for I/O‐intensive applications on virtual machines
T Bhattacharya, X Peng, J Mao, C Zhang, T Takreeti, Y Wang, T Cao, ...
Concurrency and Computation: Practice and Experience 34 (10), e6823, 2022
82022
DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome
Y Wang, L Chen
Bioinformatics 38 (24), 5340-5351, 2022
52022
WEVar: a novel statistical learning framework for predicting noncoding regulatory variants
Y Wang, Y Jiang, B Yao, K Huang, Y Liu, Y Wang, X Qin, AJ Saykin, ...
Briefings in Bioinformatics, bbab189, 2021
42021
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening
Z Cao, S Sciabola, Y Wang
Journal of Chemical Information and Modeling 64 (6), 1882-1891, 2024
2024
ROSHAMBO: Open-Source Molecular Alignment and 3D Similarity Scoring
R Atwi, Y Wang, S Sciabola, A Antoszewski
2024
Machine Learning Methods as a Cost-Effective Alternative to Physics-Based Binding Free Energy Calculations
N Bansal, Y Wang, S Sciabola
Molecules 29 (4), 830, 2024
2024
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