hong Fang
hong Fang
Geverifieerd e-mailadres voor fda.hhs.gov
Geciteerd door
Geciteerd door
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, 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
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
MaQC Consortium
Nature biotechnology 28 (8), 827, 2010
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
SEQC Consortium
Nature biotechnology 32 (9), 903, 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
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
Toward interoperable bioscience data
SA Sansone, P Rocca-Serra, D Field, E Maguire, C Taylor, O Hofmann, ...
Nature genetics 44 (2), 121-126, 2012
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
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
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
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
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
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
Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential
L Shi, W Tong, H Fang, U Scherf, J Han, RK Puri, FW Frueh, FM Goodsaid, ...
BMC bioinformatics 6 (2), 1-14, 2005
ArrayTrack--supporting toxicogenomic research at the US Food and Drug Administration National Center for Toxicological Research.
W Tong, X Cao, S Harris, H Sun, H Fang, J Fuscoe, A Harris, H Hong, ...
Environmental health perspectives 111 (15), 1819-1826, 2003
Decision forest: combining the predictions of multiple independent decision tree models
W Tong, H Hong, H Fang, Q Xie, R Perkins
Journal of Chemical Information and Computer Sciences 43 (2), 525-531, 2003
The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
L Shi, WD Jones, RV Jensen, SC Harris, RG Perkins, FM Goodsaid, ...
BMC bioinformatics 9 (9), 1-19, 2008
Phytoestrogens and mycoestrogens bind to the rat uterine estrogen receptor
WS Branham, SL Dial, CL Moland, BS Hass, RM Blair, H Fang, L Shi, ...
The Journal of nutrition 132 (4), 658-664, 2002
Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics
H Hong, Q Xie, W Ge, F Qian, H Fang, L Shi, Z Su, R Perkins, W Tong
Journal of chemical information and modeling 48 (7), 1337-1344, 2008
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