Weida Tong

Publication List Details

Period

2001 - 2008

Number

44

Co-Authors

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...

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...

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...

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)...

QSAR Models Using a Large Diverse Set of Estrogens (2001)

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

this paper, these two techniques are further investigated and compared, particularly for their predictivity, by using the NCTR data set.

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...