Hong Fang
Researcher Next ID · RN-021846
Researcher · Biochemistry, Genetics and Molecular Biology
Lin’an Shi, Philippines
- Works count
- 122
- Citation count
- 11,868
- H-index
- 50
- i10-index
- 87
Research interests
Publications
An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
Genome biology · 2014 · https://doi.org/10.1186/s13059-014-0523-y
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
Nature Biotechnology · 2014 · https://doi.org/10.1038/nbt.3001
In silico drug repositioning – what we need to know
Drug Discovery Today · 2012 · https://doi.org/10.1016/j.drudis.2012.08.005
Toward interoperable bioscience data
Nature Genetics · 2012 · https://doi.org/10.1038/ng.1054
FDA-approved drug labeling for the study of drug-induced liver injury
Drug Discovery Today · 2011 · https://doi.org/10.1016/j.drudis.2011.05.007
A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data
The Pharmacogenomics Journal · 2010 · https://doi.org/10.1038/tpj.2010.57
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Nature Biotechnology · 2010 · https://doi.org/10.1038/nbt.1665
Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics
Journal of Chemical Information and Modeling · 2008 · https://doi.org/10.1021/ci800038f
The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
BMC Bioinformatics · 2008 · https://doi.org/10.1186/1471-2105-9-s9-s10
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Nature Biotechnology · 2006 · https://doi.org/10.1038/nbt1239
Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen Receptor
Chemical Research in Toxicology · 2003 · https://doi.org/10.1021/tx030011g
Quantitative structure-activity relationship methods: Perspectives on drug discovery and toxicology
Environmental Toxicology and Chemistry · 2003 · https://doi.org/10.1897/01-171
Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models
Journal of Chemical Information and Computer Sciences · 2003 · https://doi.org/10.1021/ci020058s
ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.
Environmental Health Perspectives · 2003 · https://doi.org/10.1289/ehp.6497
Structure−Activity Relationships for a Large Diverse Set of Natural, Synthetic, and Environmental Estrogens
Chemical Research in Toxicology · 2001 · https://doi.org/10.1021/tx000208y
QSAR Models Using a Large Diverse Set of Estrogens
Journal of Chemical Information and Computer Sciences · 2000 · https://doi.org/10.1021/ci000066d
Current projects
No projects listed.