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 language | English |
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Pages (from-to) | 2692-2699 |
Number of pages | 8 |
Journal | Bioinformatics |
Volume | 25 |
Issue number | 20 |
Early online date | 23 Jul 2009 |
DOIs | |
Publication status | Published - 15 Oct 2009 |
Keywords
- gene-expression
- prostate-cancer