W. Tong

发表

Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptor

H. Fang, H. Hong, R. Perkins, 2003, SAR and QSAR in environmental research.

The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands.

H Fang, W S Branham, D M Sheehan, 2000, Toxicological sciences : an official journal of the Society of Toxicology.

Predicted changes in pre-mRNA secondary structure vary in their association with exon skipping for mutations in exons 2, 4, and 8 of the Hprt gene and exon 51 of the fibrillin gene.

R. Perkins, W. Tong, M. Tu, 2000, Mutation research.

Genomic indicators in the blood predict drug-induced liver injury

H Fang, T. Nikolskaya, Y. Nikolsky, 2010, The Pharmacogenomics Journal.

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes

C. Furlanello, Giuseppe Jurman, T. Nikolskaya, 2010, The Pharmacogenomics Journal.

Quantitative comparisons of in vitro assays for estrogenic activities.

H Fang, D M Sheehan, H. Fang, 2000, Environmental health perspectives.

Evaluation of Quantitative Structure—Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor.

William J. Welsh, Roger Perkins, Daniel M. Sheehan, 1998 .

Derivation of a pharmacophore model for anandamide using constrained conformational searching and comparative molecular field analysis.

W. Welsh, W. Tong, A. Howlett, 1998, Journal of medicinal chemistry.

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

Q Xie, H Fang, D M Sheehan, 2001, Chemical research in toxicology.

Use of moment of inertia in comparative molecular field analysis to model chromatographic retention of nonpolar solutes.

W. Tong, W. Zielinski, E. Collantes, 1996, Analytical chemistry.

An integrated "4-phase" approach for setting endocrine disruption screening priorities--phase I and II predictions of estrogen receptor binding affinity

H Hong, W Tong, Q Xie, 2002, SAR and QSAR in environmental research.

Enthalpies of sublimation and formation of polycyclic aromatic hydrocarbons (PAHs) derived from comparative molecular field analysis (CoMFA): Application of moment of inertia for molecular alignment

William J. Welsh, James S. Chickos, W. Welsh, 1997 .

Data Mining: An Integrated Approach for Drug Discovery

L. M. Shi, W. D. Tong, W. Tong, 2003 .

Interpretation of Toxicogenomics Data

W. Tong, H. Fang, R. Perkins, 2010 .

k-Nearest neighbor models for microarray gene expression analysis and clinical outcome prediction

Todd H. Stokes, W Tong, R M Parry, 2010, The Pharmacogenomics Journal.

A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

Tieliu Shi, Leming Shi, W. Tong, 2010, The Pharmacogenomics Journal.

Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples

F. Goodsaid, H. Fang, W. Ge, 2010, The Pharmacogenomics Journal.

An in silico ensemble method for lead discovery: decision forest

H Hong, W Tong, Q Xie, 2005, SAR and QSAR in environmental research.

Evaluation of Quantitative Structure-Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor

Yu Chen, William J. Welsh, Weida Tong, 1998, J. Chem. Inf. Comput. Sci..

QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes.

Roger Perkins, Li Xing, William J Welsh, 1997, Endocrinology.

Quantitative structure-activity relationships (QSARs) for estrogen binding to the estrogen receptor: predictions across species.

W S Branham, D M Sheehan, R. Perkins, 1997, Environmental health perspectives.

QSAR models for binding of estrogenic compounds to estrogen receptor alpha and beta subtypes.

D M Sheehan, R. Perkins, W. Welsh, 1997, Endocrinology.

Regulatory application of SAR/QSAR for priority setting of endocrine disruptors: A perspective

Weida Tong, Qian Xie, Huixiao Hong, 2003 .

Quality control metrics improve repeatability and reproducibility of single-nucleotide variants derived from whole-genome sequencing

H Hong, W Tong, W Zhang, 2014, The Pharmacogenomics Journal.

Comparison of estrogen receptor alpha and beta subtypes based on comparative molecular field analysis (CoMFA).

D M Sheehan, R. Perkins, W. Welsh, 1999, SAR and QSAR in environmental research.

A comparative molecular field analysis study of N-benzylpiperidines as acetylcholinesterase inhibitors.

W. Welsh, W. Tong, W J Welsh, 1996, Journal of medicinal chemistry.