Moderated effect size and P-value combinations for microarray meta-analyses. - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Bioinformatics Year : 2009

Moderated effect size and P-value combinations for microarray meta-analyses.

Jean Louis J. L. Foulley
  • Function : Author
Claus-Dieter Mayer
  • Function : Author
Florence Jaffrezic

Abstract

Motivation: With the proliferation of microarray experiments and their availability in the public domain, the use of meta-analysis methods to combine results from different studies increases. In microarray experiments, where the sample size is often limited, meta-analysis offers the possibility to considerably increase the statistical power and give more accurate results. Results: A moderated effect size combination method was proposed and compared with other meta-analysis approaches. All methods were applied to real publicly available datasets on prostate cancer, and were compared in an extensive simulation study for various amounts of inter-study variability. Although the proposed moderated effect size combination improved already existing effect size approaches, the P-value combination was found to provide a better sensitivity and a better gene ranking than the other meta-analysis methods, while effect size methods were more conservative.

Dates and versions

hal-00782348 , version 1 (29-01-2013)

Identifiers

Cite

Guillemette Marot, Jean Louis J. L. Foulley, Claus-Dieter Mayer, Florence Jaffrezic. Moderated effect size and P-value combinations for microarray meta-analyses.. Bioinformatics, 2009, 25 (20), pp.2692-2699. ⟨10.1093/bioinformatics/btp444⟩. ⟨hal-00782348⟩
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