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Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome

Zhe Zhang*, Dechang Chen and David A Fenstermacher

BMC Genomics 2007, 8:331 doi:10.1186/1471-2164-8-331

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Intrinsic bias in breast cancer gene expression data sets

Jonathan D Mosley, Ruth A Keri BMC Cancer 2009, 9:214 (29 June 2009)

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Research article   Open Access

Biological processes, properties and molecular wiring diagrams of candidate low-penetrance breast cancer susceptibility genes

Núria Bonifaci, Antoni Berenguer, Javier Díez, Oscar Reina, Ignacio Medina, Joaquín Dopazo, Víctor Moreno, Miguel Pujana BMC Medical Genomics 2008, 1:62 (18 December 2008)

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Research article   Open Access

The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis

Andrew H Sims, Graeme J Smethurst, Yvonne Hey, Michal J Okoniewski, Stuart D Pepper, Anthony Howell, Crispin J Miller, Robert B Clarke BMC Medical Genomics 2008, 1:42 (21 September 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

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