Weida Tong

Details der Publikationsliste

Zeitraum

1998 - 2009

Anzahl

70

Co-Autoren

BioMed Central (2009)

Bmc Bioinformatics, Tao Han, Jianyong Wang, Weida Tong, Martha M Moore, James C Fuscoe, ...

Proceedings Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of L5178Y mouse lymphoma cells

BioMed Central (2009)

Bmc Bioinformatics, Zhenqiang Su, Huixiao Hong, Hong Fang, Leming Shi, Roger Perkins, ...

Proceedings Very Important Pool (VIP) genes – an application for microarray-based molecular signatures

ebTrack: an environmental bioinformatics system built upon ArrayTrack™ (2009)

Chen, Minjun, Martin, Jackson, Fang, Hong, Isukapalli, Sastry, Georgopoulos, Panos G, Welsh, William J, ...

Abstract ebTrack is being developed as an integrated bioinformatics system for environmental research and analysis by addressing the issues of integration, curation, management, first level analysis...

Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation (2009)

Fan, Xiaohui, Shi, Leming, Fang, Hong, Harris, Stephen, Perkins, Roger, Tong, Weida

Abstract Recent publications have raised concerns about the reliability of microarray technology because of the lack of reproducibility of differentially expressed genes (DEGs) from highly similar...

Proceedings of the First International Conference on Toxicogenomics Integrated with Environmental Sciences (TIES-2007) (2009)

Bushel, Pierre R, Nielsen, Dahlia, Tong, Weida

Abstract The First International Conference on Toxicogenomics Integrated with Environmental Sciences (TIES-2007) was held at the North Carolina State University McKimmon Center in Raleigh, North...

genotoxicity (2009)

Joseph R. Votano, Marc Parham, Lowell H. Hall, Lemont B. Kier, Scott Oloff, Er Tropsha, ...

Three new consensus QSAR models for the prediction of Ames

Toxicogenomics and Cell-based Assays for Toxicology (2009)

Weida Tong, Hong Fang, Donna Mendrick

Toxicity is usually investigated using a set of standardized animal-based studies which, unfortunately, fail to detect all compounds that induce human adverse events and do not provide detailed...

Toxicogenomics | Article Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence (2008)

Weida Tong, Qian Xie, Huixiao Hong, Hong Fang, Leming Shi, Roger Perkins, ...

Class prediction using “omics ” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few...

Very Important Pool (VIP) genes – an application for microarray-based molecular signatures (2008)

Su, Zhenqiang, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, Tong, Weida

Abstract Background Advances in DNA microarray technology portend that molecular signatures from which microarray will eventually be used in clinical environments and personalized medicine....

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples (2008)

Hong, Huixiao, Su, Zhenqiang, Ge, Weigong, Shi, Leming, Perkins, Roger, Fang, Hong, ...

Abstract Background Genome-wide association studies (GWAS) aim to identify genetic variants (usually single nucleotide polymorphisms [SNPs]) across the entire human genome that are associated with...

The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies (2008)

Shi, Leming, Jones, Wendell D, Jensen, Roderick V, Harris, Stephen C, Perkins, Roger G, Goodsaid, Federico M, ...

Abstract Background Reproducibility is a fundamental requirement in scientific experiments. Some recent publications have claimed that microarrays are unreliable because lists of differentially...

The First RSBI (ISA-TAB) Workshop: "Can a Simple Format Work for Complex Studies?" (2008)

Sansone, Susanna-Assunta, Rocca-Serra, Philippe, Brandizi, Marco, Brazma, Alvis, Field, Dawn, Fostel, Jennifer, ...

This article summarizes the motivation for, and the proceedings of, the first ISA-TAB workshop held December 6–8, 2007, at the EBI, Cambridge, UK. This exploratory workshop, organized by members of...

cytotoxicity for identification of biomarkers (2008)

Yongxi Tan, Leming Shi, Saber M. Hussain, Jun Xu, Weida Tong, John M, ...

Integrating time-course microarray gene expression profiles with

Systemic similarity analysis of compatibility drug-induced multiple pathway patterns _in vivo_ (2008)

Zhong Wang, Zhan-jun Zhang, Yi Wang, Yiyu Cheng, Weida Tong, Yongyan Wang

A major challenge in post-genomic research is to understand how physiological and pathological phenotypes arise from the networks of expressed genes and to develop powerful tools for translating the...

SELDI Based Proteomic Determination of Hepatic Biomarkers in Mouse Serum Following Acetaminophen Administration (2008)

Huixiao Hong, Candee Teitel, Laura P. James, Weida Tong, Jack A. Hinson, Et Al.

Drug induced toxicities account for nearly half of the cases of acute liver failure in adults over age 50 in the US. Acetaminophen (APAP) is a commonly used non-prescription drug that can be...

Toward a Checklist for Exchange and Interpretation of Data from a Toxicology Study (2007)

Fostel, Jennifer M., Burgoon, Lyle, Zwickl, Craig, Lord, Peter, Corton, J. Christopher, Bushel, Pierre R., ...

Data from toxicology and toxicogenomics studies are valuable, and can be combined for meta-analysis using public data repositories such as Chemical Effects in Biological Systems Knowledgebase,...

The Reproducibility of Lists of Differentially Expressed Genes in Microarray Studies (2007)

Leming D. Shi, Wendell D. Jones, Roderick V. Jensen, Stephen C. Harris, Roger G. Perkins, Federico M. Goodsaid, ...

Reproducibility is a fundamental requirement in scientific experiments and clinical contexts. Recent publications raise concerns about the reliability of microarray technology because of the apparent...

The Reproducibility of Lists of Differentially Expressed Genes in Microarray Studies (2007)

Leming Shi, Wendell D. Jones, Roderick V. Jensen, Stephen C. Harris, Roger G. Perkins, Federico M. Goodsaid, ...

Reproducibility is a fundamental requirement in scientific experiments and clinical contexts. Recent publications raise concerns about the reliability of microarray technology because of the apparent...

Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor α agonists (2006)

Guo, Lei, Fang, Hong, Collins, Jim, Fan, Xiao-hui, Dial, Stacey, Wong, Alex, ...

Abstract Background Fibrates are a unique hypolipidemic drugs that lower plasma triglyceride and cholesterol levels through their action as peroxisome proliferator-activated receptor alpha (PPARα)...

GOFFA: Gene Ontology For Functional Analysis – A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data (2006)

Sun, Hongmei, Fang, Hong, Chen, Tao, Perkins, Roger, Tong, Weida

Abstract Background Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular components,...

Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinasemutants of L5178Y mouse lymphoma cells (2006)

Han, Tao, Wang, Jianyong, Tong, Weida, Moore, Martha M, Fuscoe, James C, Chen, Tao

Abstract Background The Thymidine kinase ( Tk ) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the large...

Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium (2006)

Tan, Yongxi, Shi, Leming, Hussain, Saber M., Xu, Jun, Tong, Weida, Frazier, John M., ...

Motivation: DNA microarrays can provide information about the expression levels of thousands of genes simultaneously at the transcriptomic level, while conventional cell viability and cytotoxicity...

BioMed Central (2006)

Bmc Bioinformatics, Lei Guo, Hong Fang, Jim Collins, Xiao-hui Fan, Stacey Dial, ...

Proceedings Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor α agonists

Microarray scanner calibration curves: characteristics and implications (2005)

Shi, Leming, Tong, Weida, Su, Zhenqiang, Han, Tao, Han, Jing, Puri, Raj K, ...

Abstract Background Microarray-based measurement of mRNA abundance assumes a linear relationship between the fluorescence intensity and the dye concentration. In reality, however, the calibration...

Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential (2005)

Shi, Leming, Tong, Weida, Fang, Hong, Scherf, Uwe, Han, Jing, Puri, Raj K, ...

Abstract Background The acceptance of microarray technology in regulatory decision-making is being challenged by the existence of various platforms and data analysis methods. A recent report (E....

Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method (2005)

Xie, Qian, Ratnasinghe, Luke D, Hong, Huixiao, Perkins, Roger, Tang, Ze-Zhong, Hu, Nan, ...

Abstract Background Systematic evaluation and study of single nucleotide polymorphisms (SNPs) made possible by high throughput genotyping technologies and bioinformatics promises to provide...

Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS) (2005)

Hong, Huixiao, Dragan, Yvonne, Epstein, Joshua, Teitel, Candee, Chen, Bangzheng, Xie, Qian, ...

Abstract Background Proteomic profiling of complex biological mixtures by the ProteinChip technology of surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS)...

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data (2005)

Tan, Yongxi, Shi, Leming, Tong, Weida, Wang, Charles

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One...

Chemical Effects in Biological Systems - Data Dictionary (CEBS-DD): A Compendium of Terms for the Capture and Integration of Biological Study Design Description, Conventional Phenotypes and 'Omics Data (2005)

Fostel, Jennifer, Choi, Danielle, Zwickl, Craig, Morrison, Norman, Rashid, Asif, Hasan, Atif, ...

A critical component in the design of the Chemical Effects in Biological Systems (CEBS) Knowledgebase is a strategy to capture toxicogenomics study protocols and the toxicity endpoint data (clinical...

Chemical Effects in Biological Systems--Data Dictionary (CEBS-DD): A Compendium of Terms for the Capture and Integration of Biological Study Design Description, Conventional Phenotypes, and 'Omics Data (2005)

Fostel, Jennifer, Choi, Danielle, Zwickl, Craig, Morrison, Norman, Rashid, Asif, Hasan, Atif, ...

A critical component in the design of the Chemical Effects in Biological Systems (CEBS) Knowledgebase is a strategy to capture toxicogenomics study protocols and the toxicity endpoint data (clinical...

Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium# (2005)

Tan, Yongxi, Shi, Leming, Hussain, Saber M., Xu, Jun, Tong, Weida, Frazier, John M., ...

Motivation: DNA microarrays can provide information about the expression levels of thousands of genes simultaneously at the transcriptomic level, while conventional cell viability and cytotoxicity...

BioMed Central Proceedings Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method (2005)

Bmc Bioinformatics, Qian Xie, Luke D Ratnasinghe, Huixiao Hong, Roger Perkins, Zhong Tang, ...

<supplement> <title> <p>Second Annual MidSouth Computational Biology and Bioinformatics Society Conference. Bioinformatics: a systems approach</p> </title>...

Three new consensus QSAR models for the prediction of Ames genotoxicity (2004)

Votano, Joseph R., Parham, Marc, Hall, Lowell H., Kier, Lemont B., Oloff, Scott, Tropsha, Alexander, ...

Three QSAR methods, artificial neural net (ANN), k-nearest neighbors (kNN), and Decision Forest (DF), were applied to 3363 diverse compounds tested for their Ames genotoxicity. The ratio of mutagens...

ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research. Environ Health Perspect 111 (2003)

Weida Tong, Xiaoxi Cao, Stephen Harris, Hongmei Sun, Hong Fang, James Fuscoe, ...

The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and...

The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands (2000)

Blair, Robert M., Fang, Hong, Branham, William S., Hass, Bruce S., Dial, Stacey L., Moland, Carrie L., ...

We have utilized a validated (standardized) estrogen receptor (ER) competitive-binding assay to determine the ER affinity for a large, structurally diverse group of chemicals. Uteri from...

Government of the United States; the Large Scale Networking Working (1998)

Leming M. Shi, Hong Fang, Weida Tong, Jie Wu, Roger Perkins, Robert M. Blair, ...

Endocrine disruptors (EDs) have a variety of adverse effects in humans and animals. About 58 000 chemicals, most having little safety data, must be tested in a group of tiered assays. As assays will...

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data

Tan, Yongxi, Shi, Leming, Tong, Weida, Wang, Charles

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One...

Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.

Hong, Huixiao, Tong, Weida, Fang, Hong, Shi, Leming, Xie, Qian, Wu, Jie, ...

A number of environmental chemicals, by mimicking natural hormones, can disrupt endocrine function in experimental animals, wildlife, and humans. These chemicals, called "endocrine-disrupting...

ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

Tong, Weida, Cao, Xiaoxi, Harris, Stephen, Sun, Hongmei, Fang, Hong, Fuscoe, James, ...

The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and...

Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence

Tong, Weida, Xie, Qian, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, ...

Class prediction using “omics” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few...

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Tong, Weida, Xie, Qian, Hong, Huixiao, Shi, Leming, Fang, Hong, Perkins, Roger

Quantitative structure–activity relationship (QSAR) methods have been widely applied in drug discovery, lead optimization, toxicity prediction, and regulatory decisions. Despite major advances in...

Meeting Report: Validation of Toxicogenomics-Based Test Systems: ECVAM–ICCVAM/NICEATM Considerations for Regulatory Use

Corvi, Raffaella, Ahr, Hans-Jürgen, Albertini, Silvio, Blakey, David H., Clerici, Libero, Coecke, Sandra, ...

This is the report of the first workshop “Validation of Toxicogenomics-Based Test Systems” held 11–12 December 2003 in Ispra, Italy. The workshop was hosted by the European Centre for the...

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data

Tan, Yongxi, Shi, Leming, Tong, Weida, Wang, Charles

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One...

Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.

Hong, Huixiao, Tong, Weida, Fang, Hong, Shi, Leming, Xie, Qian, Wu, Jie, ...

A number of environmental chemicals, by mimicking natural hormones, can disrupt endocrine function in experimental animals, wildlife, and humans. These chemicals, called "endocrine-disrupting...

ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

Tong, Weida, Cao, Xiaoxi, Harris, Stephen, Sun, Hongmei, Fang, Hong, Fuscoe, James, ...

The mapping of the human genome and the determination of corresponding gene functions, pathways, and biological mechanisms are driving the emergence of the new research fields of toxicogenomics and...

Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence

Tong, Weida, Xie, Qian, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, ...

Class prediction using “omics” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few...

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Tong, Weida, Xie, Qian, Hong, Huixiao, Shi, Leming, Fang, Hong, Perkins, Roger

Quantitative structure–activity relationship (QSAR) methods have been widely applied in drug discovery, lead optimization, toxicity prediction, and regulatory decisions. Despite major advances in...

Meeting Report: Validation of Toxicogenomics-Based Test Systems: ECVAM–ICCVAM/NICEATM Considerations for Regulatory Use

Corvi, Raffaella, Ahr, Hans-Jürgen, Albertini, Silvio, Blakey, David H., Clerici, Libero, Coecke, Sandra, ...

This is the report of the first workshop “Validation of Toxicogenomics-Based Test Systems” held 11–12 December 2003 in Ispra, Italy. The workshop was hosted by the European Centre for the...

Proceedings of the First International Conference on Toxicogenomics Integrated with Environmental Sciences (TIES-2007)

Bushel, Pierre R, Nielsen, Dahlia, Tong, Weida

The First International Conference on Toxicogenomics Integrated with Environmental Sciences (TIES-2007) was held at the North Carolina State University McKimmon Center in Raleigh, North Carolina on...

Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation

Fan, Xiaohui, Shi, Leming, Fang, Hong, Harris, Stephen, Perkins, Roger, Tong, Weida

Recent publications have raised concerns about the reliability of microarray technology because of the lack of reproducibility of differentially expressed genes (DEGs) from highly similar studies...

ebTrack: an environmental bioinformatics system built upon ArrayTrack™

Chen, Minjun, Martin, Jackson, Fang, Hong, Isukapalli, Sastry, Georgopoulos, Panos G, Welsh, William J, ...

ebTrack is being developed as an integrated bioinformatics system for environmental research and analysis by addressing the issues of integration, curation, management, first level analysis and...