Design issues in toxicogenomics using DNA microarray experiment.

[1]  Roger E Bumgarner,et al.  Sample size for detecting differentially expressed genes in microarray experiments , 2004, BMC Genomics.

[2]  Janine Ezendam,et al.  Toxicogenomics of subchronic hexachlorobenzene exposure in Brown Norway rats. , 2004, Environmental health perspectives.

[3]  K. Mihara,et al.  Gene expression analysis of the lung following paraquat administration in rats using DNA microarray. , 2004, The Journal of toxicological sciences.

[4]  B. Sobral,et al.  Toxicogenomics through the eyes of informatics: conference overview and recommendations. , 2004, Environmental health perspectives.

[5]  S. Friend,et al.  Signatures of environmental exposures using peripheral leukocyte gene expression: tobacco smoke. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[6]  John D Potter,et al.  Epidemiology, cancer genetics and microarrays: making correct inferences, using appropriate designs. , 2003, Trends in genetics : TIG.

[7]  Michael D Waters,et al.  The impact of new technologies on human population studies. , 2003, Mutation research.

[8]  Richard Weindruch,et al.  A design and statistical perspective on microarray gene expression studies in nutrition: the need for playful creativity and scientific hard-mindedness. , 2003, Nutrition.

[9]  G. Churchill.  Fundamentals of experimental design for cDNA microarrays , 2002, Nature Genetics.

[10]  John Quackenbush.  Microarray data normalization and transformation , 2002, Nature Genetics.

[11]  George Stephanopoulos,et al.  Determination of minimum sample size and discriminatory expression patterns in microarray data , 2002, Bioinform..

[12]  T. Speed,et al.  Design issues for cDNA microarray experiments , 2002, Nature Reviews Genetics.

[13]  G. Marchant.  Toxicogenomics and toxic torts. , 2002, Trends in biotechnology.

[14]  Christopher J Portier,et al.  Toxicogenomics: the new frontier in risk analysis. , 2002, Carcinogenesis.

[15]  W. Pan,et al.  How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach , 2002, Genome Biology.

[16]  Juliane Fluck,et al.  Microarrays: how many do you need? , 2002, RECOMB '02.

[17]  W. Gauderman.  Sample size requirements for association studies of gene-gene interaction. , 2002, American journal of epidemiology.

[18]  W James Gauderman,et al.  Sample size requirements for matched case‐control studies of gene–environment interaction , 2002, Statistics in medicine.

[19]  R. Tennant,et al.  The National Center for Toxicogenomics: using new technologies to inform mechanistic toxicology. , 2002, Environmental health perspectives.

[20]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[21]  A. Brazma,et al.  Gene expression data analysis. , 2001, FEBS letters.

[22]  L. L. Smith,et al.  Key challenges for toxicologists in the 21st century. , 2001, Trends in pharmacological sciences.

[23]  R. Doerge,et al.  Calculation of the minimum number of replicate spots required for detection of significant gene expression fold change in microarray experiments , 2001, Bioinform..

[24]  G. Churchill,et al.  Statistical design and the analysis of gene expression microarray data. , 2001, Genetical research.

[25]  G. A. Whitmore,et al.  Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[26]  W. Pennie,et al.  The principles and practice of toxigenomics: applications and opportunities. , 2000, Toxicological sciences : an official journal of the Society of Toxicology.

[27]  U. Gundert-Remy,et al.  CYP2E1 expression in bone marrow and its intra- and interspecies variability: approaches for a more reliable extrapolation from one species to another in the risk assessment of chemicals , 2000, Archives of Toxicology.

[28]  U. Gundert-Remy,et al.  CYP2E1-dependent benzene toxicity: the role of extrahepatic benzene metabolism , 1999, Archives of Toxicology.

[29]  Guidel Ines,et al.  Expression profiling — best practices for data generation and interpretation in clinical trials , 2004, Nature Reviews Genetics.

[30]  Gary D Bader,et al.  BMC Bioinformatics Methodology article Statistical significance for hierarchical clustering in genetic association and microarray expression studies , 2003 .