Skip to Main content Skip to Navigation
Journal articles

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

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.
Keywords : gene expression
Complete list of metadata
Contributor : Guillemette Marot Connect in order to contact the contributor
Submitted on : Tuesday, January 29, 2013 - 3:41:29 PM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM

Links full text



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



Record views