Statistical design and the analysis of gene expression microarray data

M. KATHLEEN KERR; GARY A. CHURCHILL

doi:10.1017/S0016672301005055

Abstract

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Gene expression microarrays are an innovative technology with enormous promise to help geneticists explore and understand the genome. Although the potential of this technology has been clearly demonstrated, many important and interesting statistical questions persist. We relate certain features of microarrays to other kinds of experimental data and argue that classical statistical techniques are appropriate and useful. We advocate greater attention to experimental design issues and a more prominent role for the ideas of statistical inference in microarray studies.

Crossref Citations

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Jin, Wei Riley, Rebecca M. Wolfinger, Russell D. White, Kevin P. Passador-Gurgel, Gisele and Gibson, Greg 2001. The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster. Nature Genetics, Vol. 29, Issue. 4, p. 389.

2001. Current Awareness. Comparative and Functional Genomics, Vol. 2, Issue. 6, p. 401.

Shasha, Dennis E. Kouranov, Andrei Y. Lejay, Laurence V. Chou, Michael F. and Coruzzi, Gloria M. 2001. Using Combinatorial Design to Study Regulation by Multiple Input Signals. A Tool for Parsimony in the Post-Genomics Era. Plant Physiology, Vol. 127, Issue. 4, p. 1590.

Churchill, Gary A. and Oliver, Brian 2001. Sex, flies and microarrays. Nature Genetics, Vol. 29, Issue. 4, p. 355.

Ali, Adnan and Crawford, Michael J 2002. Developmental biology: an array of new possibilities. Biotechnology Advances, Vol. 20, Issue. 5-6, p. 363.

Holloway, Andrew J. van Laar, Ryan K. Tothill, Richard W. and Bowtell, David D.L. 2002. Options available—from start to finish—for obtaining data from DNA microarrays II. Nature Genetics, Vol. 32, Issue. S4, p. 481.

Castle, Arthur L Carver, Michael P and Mendrick, Donna L 2002. Toxicogenomics: a new revolution in drug safety. Drug Discovery Today, Vol. 7, Issue. 13, p. 728.

Hernandez, M. Rosario Agapova, Olga A. Yang, Ping Salvador‐Silva, Mercedes Ricard, Cynthia S. and Aoi, Shun 2002. Differential gene expression in astrocytes from human normal and glaucomatous optic nerve head analyzed by cDNA microarray. Glia, Vol. 38, Issue. 1, p. 45.

Walker, Josef Flower, Darren and Rigley, Kevin 2002. Microarrays in hematology. Current Opinion in Hematology, Vol. 9, Issue. 1, p. 23.

Docterman, Kimberly E. and Smith, Susan M. 2002. Of Meis and men: Lessons from a microarray study of teratogen action. Teratology, Vol. 66, Issue. 5, p. 217.

Blackshaw, Seth and Livesey, Rick 2002. Applying genomics technologies to neural development. Current Opinion in Neurobiology, Vol. 12, Issue. 1, p. 110.

Zhao, Yihua Chen, Benjamin P. C. Miao, Hui Yuan, Suli Li, Yi-Shuan Hu, Yingli Rocke, David M. and Chien, Shu 2002. Improved significance test for DNA microarray data: temporal effects of shear stress on endothelial genes. Physiological Genomics, Vol. 12, Issue. 1, p. 1.

Kelz, Max B. Dent, Gersham W. Therianos, Stavros Marciano, Paolo G. McIntosh, Tracy K. Coleman, Paul D. and Eberwine, James H. 2002. Single-Cell Antisense RNA Amplification and Microarray Analysis as a Tool for Studying Neurological Degeneration and Restoration. Science of Aging Knowledge Environment, Vol. 2002, Issue. 1,

Simon, Richard Radmacher, Michael D. and Dobbin, Kevin 2002. Design of studies using DNA microarrays. Genetic Epidemiology, Vol. 23, Issue. 1, p. 21.

Halfon, Marc S. and Michelson, Alan M. 2002. Exploring genetic regulatory networks in metazoan development: methods and models. Physiological Genomics, Vol. 10, Issue. 3, p. 131.

Nagarajan, R. and Peterson, C.A. 2002. Identifying spots in microarray images. IEEE Transactions on NanoBioscience, Vol. 1, Issue. 2, p. 78.

Townsend, Jeffrey P and Hartl, Daniel L 2002. Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments. Genome Biology, Vol. 3, Issue. 12,

Nadon, Robert and Shoemaker, Jennifer 2002. Statistical issues with microarrays: processing and analysis. Trends in Genetics, Vol. 18, Issue. 5, p. 265.

Bustin, Stephen A and Dorudi, Sina 2002. The value of microarray techniques for quantitative gene profiling in molecular diagnostics. Trends in Molecular Medicine, Vol. 8, Issue. 6, p. 269.

Yang, Yee Hwa and Speed, Terry 2002. Design issues for cDNA microarray experiments. Nature Reviews Genetics, Vol. 3, Issue. 8, p. 579.

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Statistical design and the analysis of gene expression microarray data

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