| The MicroArray Quality Control (MAQC) project shows inter-and intraplatform reproducibility of gene expression measurements Nature biotechnology 24 (9), 1151-1161, 2006 | 2456 | 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 | 977 | 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 | 932 | 2005 |
| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827-838, 2010 | 904 | 2010 |
| A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium S consortium nature biotechnology, 2014 | 895 | 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 | 618 | 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 | 615 | 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 | 556 | 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 | 499 | 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 | 490 | 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 | 459 | 2003 |
| 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 | 438 | 2011 |
| 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 | 436 | 2001 |
| 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 | 432 | 2015 |
| 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 | 388 | 2013 |
| Persistent organic pollutants in food: contamination sources, health effects and detection methods W Guo, B Pan, S Sakkiah, G Yavas, W Ge, W Zou, W Tong, H Hong International journal of environmental research and public health 16 (22), 4361, 2019 | 385 | 2019 |
| Quantitative structure‐activity relationship methods: Perspectives on drug discovery and toxicology R Perkins, H Fang, W Tong, WJ Welsh Environmental Toxicology and Chemistry 22 (8), 1666-1679, 2003 | 378 | 2003 |
| DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans M Chen, A Suzuki, S Thakkar, K Yu, C Hu, W Tong Drug discovery today 21 (4), 648-653, 2016 | 375 | 2016 |
| 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), 3230, 2014 | 373 | 2014 |
| 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 | 373 | 2010 |
Hong FangNCTR/FDAایمیل تأیید شده در fda.hhs.gov