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

Guillemette Marot, Jean-Louis Foulley, Claus-Dieter Mayer, Florence Jaffrezic

Research output: Contribution to journalArticle

71 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2692-2699
Number of pages8
JournalBioinformatics
Volume25
Issue number20
Early online date23 Jul 2009
DOIs
Publication statusPublished - 15 Oct 2009

Keywords

  • gene-expression
  • prostate-cancer

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