Journal Article

Moderated effect size and <i>P</i>-value combinations for microarray meta-analyses

Guillemette Marot, Jean-Louis Foulley, Claus-Dieter Mayer and Florence Jaffrézic

in Bioinformatics

Volume 25, issue 20, pages 2692-2699
Published in print October 2009 | ISSN: 1367-4803
Published online July 2009 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btp444
Moderated effect size and P-value combinations for microarray meta-analyses

Show Summary Details

Preview

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.

Availability: An R package metaMA is available on the CRAN.

Contact: guillemette.marot@jouy.inra.fr

Journal Article.  6064 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.