Jie Shen
Cited by
Cited by
admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties
F Cheng, W Li, Y Zhou, J Shen, Z Wu, G Liu, PW Lee, Y Tang
Journal of Chemical Information and Modeling, 2012
An in silico skin absorption model for fragrance materials
J Shen, L Kromidas, T Schultz, S Bhatia
Food and chemical toxicology 74, 164-176, 2014
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Nature biotechnology 32 (9), 903-914, 2014
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ...
Nature biotechnology 32 (9), 926-932, 2014
Comparison of cramer classification between toxtree, the OECD QSAR Toolbox and expert judgment
S Bhatia, T Schultz, D Roberts, J Shen, L Kromidas, AM Api
Regulatory Toxicology and Pharmacology 71 (1), 52-62, 2015
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
W Zhang, Y Yu, F Hertwig, J Thierry-Mieg, W Zhang, D Thierry-Mieg, ...
Genome biology 16, 1-12, 2015
Estimation of ADME properties with substructure pattern recognition
J Shen, F Cheng, Y Xu, W Li, Y Tang
Journal of chemical information and modeling 50 (6), 1034-1041, 2010
CERAPP: collaborative estrogen receptor activity prediction project
K Mansouri, A Abdelaziz, A Rybacka, A Roncaglioni, A Tropsha, A Varnek, ...
Environmental health perspectives 124 (7), 1023-1033, 2016
Role of acetylation and extracellular location of heat shock protein 90α in tumor cell invasion
Y Yang, R Rao, J Shen, Y Tang, W Fiskus, J Nechtman, P Atadja, K Bhalla
Cancer research 68 (12), 4833-4842, 2008
Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers
F Cheng, Y Yu, J Shen, L Yang, W Li, G Liu, PW Lee, Y Tang
Journal of chemical information and modeling 51 (5), 996-1011, 2011
T4 report: Toward good read-across practice (GRAP) guidance
N Ball, MTD Cronin, J Shen, K Blackburn, ED Booth, M Bouhifd, E Donley, ...
Altex 33 (2), 149, 2016
Adverse drug events: database construction and in silico prediction
F Cheng, W Li, X Wang, Y Zhou, Z Wu, J Shen, Y Tang
Journal of chemical information and modeling 53 (4), 744-752, 2013
Developing measures of cognitive impairment in the real world from consumer-grade multimodal sensor streams
R Chen, F Jankovic, N Marinsek, L Foschini, L Kourtis, A Signorini, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
In Silico Assessment of Chemical Biodegradability
F Cheng, Y Ikenaga, Y Zhou, Y Yu, W Li, J Shen, Z Du, L Chen, C Xu, ...
Journal of Chemical Information and Modeling, 2012
t4 report: Supporting read-across using biological data
H Zhu, M Bouhifd, N Kleinstreuer, ED Kroese, Z Liu, T Luechtefeld, ...
Altex 33 (2), 167, 2016
In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods
F Cheng, J Shen, Y Yu, W Li, G Liu, PW Lee, Y Tang
Chemosphere 82 (11), 1636-1643, 2011
Molecular property prediction: recent trends in the era of artificial intelligence
J Shen, CA Nicolaou
Drug Discovery Today: Technologies 32, 29-36, 2019
Central reading of ulcerative colitis clinical trial videos using neural networks
K Gottlieb, J Requa, W Karnes, RC Gudivada, J Shen, E Rael, V Arora, ...
Gastroenterology 160 (3), 710-719. e2, 2021
Exploring coumarin egress channels in human cytochrome P450 2A6 by random acceleration and steered molecular dynamics simulations
W Li, J Shen, G Liu, Y Tang, T Hoshino
Proteins: Structure, Function, and Bioinformatics 79 (1), 271-281, 2011
Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
J Shen, W Zhang, H Fang, R Perkins, W Tong, H Hong
BMC bioinformatics 14, 1-11, 2013
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