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Environmental Toxicology and Chemistry|August 20, 2003
Quantitative structure-activity relationship methods: perspectives on drug discovery and toxicologyRoger Perkins, Hong Fang, Weida Tong, et al.
Environmental Toxicology and Chemistry|August 20, 2003
Structure-activity relationship approaches and applicationsWeida Tong, William J Welsh, Leming Shi, et al.
Journal of Chemical Information and Computer Sciences|March 26, 2003
Decision forest: combining the predictions of multiple independent decision tree modelsWeida Tong, Huixiao Hong, Hong Fang, et al.
BMC Bioinformatics|November 23, 2006
GOFFA: gene ontology for functional analysis--a FDA gene ontology tool for analysis of genomic and proteomic dataHongmei Sun, Hong Fang, Tao Chen, et al.
DNA and Cell Biology|December 9, 2004
Multiclass Decision Forest--a novel pattern recognition method for multiclass classification in microarray data analysisHuixiao Hong, Weida Tong, Roger Perkins, et al.
BMC Bioinformatics|November 26, 2013
Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modesJie Shen, Wenqian Zhang, Hong Fang, et al.
Pharmacogenomics|April 14, 2006
Gene expression profile exploration of a large dataset on chronic fatigue syndromeHong Fang, Qian Xie, Roumiana Boneva, et al.
BMC Bioinformatics|December 15, 2011
Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II projectMinjun Chen, Leming Shi, Reagan Kelly, et al.
Environmental Health Perspectives|September 4, 2004
Assessment of prediction confidence and domain extrapolation of two structure-activity relationship models for predicting estrogen receptor binding activityWeida Tong, Qian Xie, Huixiao Hong, et al.
BMC Proceedings|March 13, 2009
Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulationXiaohui Fan, Leming Shi, Hong Fang, et al.
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