Weida Tong
Weida Tong
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The MicroArray Quality Control (MAQC) project shows inter-and intraplatform reproducibility of gene expression measurements.
L Shi, LH Reid, WD Jones, R Shippy, JA Warrington, SC Baker, PJ Collins, ...
Nature biotechnology 24 (9), 1151-1161, 2006
The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands
RM Blair, H Fang, WS Branham, BS Hass, SL Dial, CL Moland, W Tong, ...
Toxicological Sciences 54 (1), 138-153, 2000
Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships: The report and recommendations of ecvam workshop 52
TI Netzeva, AP Worth, T Aldenberg, R Benigni, MTD Cronin, P Gramatica, ...
Alternatives to Laboratory Animals 33 (2), 155-173, 2005
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Nature biotechnology 28 (8), 827-838, 2010
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
S consortium
nature biotechnology, 2014
Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project
TA Patterson, EK Lobenhofer, SB Fulmer-Smentek, PJ Collins, TM Chu, ...
Nature biotechnology 24 (9), 1140-1150, 2006
Structure− activity relationships for a large diverse set of natural, synthetic, and environmental estrogens
H Fang, W Tong, LM Shi, R Blair, R Perkins, W Branham, BS Hass, Q Xie, ...
Chemical research in toxicology 14 (3), 280-294, 2001
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
Rat toxicogenomic study reveals analytical consistency across microarray platforms
L Guo, EK Lobenhofer, C Wang, R Shippy, SC Harris, L Zhang, N Mei, ...
Nature biotechnology 24 (9), 1162-1169, 2006
Toward interoperable bioscience data
SA Sansone, P Rocca-Serra, D Field, E Maguire, C Taylor, O Hofmann, ...
Nature genetics 44 (2), 121-126, 2012
Study of 202 natural, synthetic, and environmental chemicals for binding to the androgen receptor
H Fang, W Tong, WS Branham, CL Moland, SL Dial, H Hong, Q Xie, ...
Chemical research in toxicology 16 (10), 1338-1358, 2003
QSAR models using a large diverse set of estrogens
LM Shi, H Fang, W Tong, J Wu, R Perkins, RM Blair, WS Branham, ...
Journal of Chemical Information and Computer Sciences 41 (1), 186-195, 2001
FDA-approved drug labeling for the study of drug-induced liver injury
M Chen, V Vijay, Q Shi, Z Liu, H Fang, W Tong
Drug discovery today 16 (15-16), 697-703, 2011
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
A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages
Y Yu, JC Fuscoe, C Zhao, C Guo, M Jia, T Qing, DI Bannon, L Lancashire, ...
Nature communications 5 (1), 1-11, 2014
High lipophilicity and high daily dose of oral medications are associated with significant risk for drug‐induced liver injury
M Chen, J Borlak, W Tong
Hepatology 58 (1), 388-396, 2013
A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data
J Luo, M Schumacher, A Scherer, D Sanoudou, D Megherbi, T Davison, ...
The pharmacogenomics journal 10 (4), 278-291, 2010
Quantitative structure‐activity relationship methods: Perspectives on drug discovery and toxicology
R Perkins, H Fang, W Tong, WJ Welsh
Environmental Toxicology and Chemistry: An International Journal 22 (8 …, 2003
Quantitative comparisons of in vitro assays for estrogenic activities.
H Fang, W Tong, R Perkins, AM Soto, NV Prechtl, DM Sheehan
Environmental health perspectives 108 (8), 723-729, 2000
ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level
P Rocca-Serra, M Brandizi, E Maguire, N Sklyar, C Taylor, K Begley, ...
Bioinformatics 26 (18), 2354-2356, 2010
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