Genome Biology

official impact factor 6.89

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How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach

Wei Pan*, Jizhen Lin and Chap T Le

Genome Biology 2002, 3:research0022-research0022.10 doi:10.1186/gb-2002-3-5-research0022

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BioMed Central: 6 citations

Software   Open Access

CGHpower: exploring sample size calculations for chromosomal copy number experiments

Ilari Scheinin, José A Ferreira, Sakari Knuutila, Gerrit A Meijer, Mark A van de Wiel, Bauke Ylstra BMC Bioinformatics 2010, 11:331 (17 June 2010)

Research   Open Access Highly Accessed

Microarray study reveals that HIV-1 induces rapid type-I interferon-dependent p53 mRNA up-regulation in human primary CD4+ T cells

Michaël Imbeault, Michel Ouellet, Michel J Tremblay Retrovirology 2009, 6:5 (15 January 2009)

Software   Open Access Highly Accessed

The PowerAtlas: a power and sample size atlas for microarray experimental design and research

Grier P Page, Jode W Edwards, Gary L Gadbury, Prashanth Yelisetti, Jelai Wang, Prinal Trivedi, David B Allison BMC Bioinformatics 2006, 7:84 (22 February 2006)

Research article   Open Access Highly Accessed

Sample size for detecting differentially expressed genes in microarray experiments

Caimiao Wei, Jiangning Li, Roger E Bumgarner BMC Genomics 2004, 5:87 (8 November 2004)

Method   Open Access

Exploratory differential gene expression analysis in microarray experiments with no or limited replication

Alexander V Loguinov, I Saira Mian, Chris D Vulpe Genome Biology 2004, 5:R18 (1 March 2004)

An exploratory, data-oriented approach is described for identifying candidates for differential gene expression in cDNA microarray experiments in terms of α-outliers and outlier regions, using simultaneous tolerance intervals relative to the line of equivalence.

Methodology article   Open Access

Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation

Jason Comander, Sripriya Natarajan, Michael A Gimbrone, Guillermo García-Cardeña BMC Genomics 2004, 5:17 (27 February 2004)