Weida Tong

Overview

Best Publications

• The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

  Leming Shi;Laura H. Reid;Wendell D. Jones;Richard Shippy

  2470
  Citations

• The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

  Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  1213
  Citations

• A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

  Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  1015
  Citations

• The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands

  Robert M. Blair;Hong Fang;William S. Branham;Bruce S. Hass

  964
  Citations

• Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.

  Tatiana I. Netzeva;Andrew P. Worth;Tom Aldenberg;Romualdo Benigni

  899
  Citations

• Performance comparison of one-color and two-color platforms within the Microarray Quality Control (MAQC) project

  Tucker A Patterson;Edward K Lobenhofer;Stephanie B Fulmer-Smentek;Patrick J Collins

  601
  Citations

• Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens.

  Hong Fang;Weida Tong;Leming M. Shi;Robert Blair

  599
  Citations

• The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

  Charles Wang;Binsheng Gong;Pierre R. Bushel;Jean Thierry-Mieg

  570
  Citations

• Toward interoperable bioscience data

  Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

  504
  Citations

• Rat toxicogenomic study reveals analytical consistency across microarray platforms

  Lei Guo;Edward K Lobenhofer;Charles Wang;Richard Shippy

  497
  Citations

• Study of 202 natural, synthetic, and environmental chemicals for binding to the androgen receptor.

  Hong Fang;Weida Tong;William S. Branham;Carrie L. Moland

  439
  Citations

• Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.

  Wenqian Zhang;Ying Yu;Falk Hertwig;Falk Hertwig;Jean Thierry-Mieg

  437
  Citations

• QSAR models using a large diverse set of estrogens

  Leming M. Shi;Hong Fang;Weida Tong;Jie Wu

  437
  Citations

• FDA-approved drug labeling for the study of drug-induced liver injury.

  Minjun Chen;Vikrant Vijay;Qiang Shi;Zhichao Liu

  406
  Citations

• The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

  Leming Shi;Wendell D. Jones;Roderick V. Jensen;Stephen C. Harris

  398
  Citations

• ISA software suite

  Philippe Rocca-Serra;Marco Brandizi;Eamonn Maguire;Eamonn Maguire;Nataliya Sklyar

  382
  Citations

• A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages.

  Ying Yu;James C. Fuscoe;Chen Zhao;Chao Guo

  371
  Citations

• High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury†‡§¶

  Minjun Chen;Jürgen Borlak;Weida Tong

  359
  Citations

• 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

  349
  Citations

• Quantitative structure‐activity relationship methods: Perspectives on drug discovery and toxicology

  Roger Perkins;Hong Fang;Weida Tong;William J. Welsh

  340
  Citations