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

@article{citeulike:5445449, 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. Availability: An R package metaMA is available on the CRAN. Contact: guillemette.marot@jouy.inra.fr 10.1093/bioinformatics/btp444}, author = {Marot, Guillemette and Foulley, Jean-Louis and Mayer, Claus-Dieter and Jaffrezic, Florence}, booktitle = {Bioinformatics}, citeulike-article-id = {5445449}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btp444}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/25/20/2692.abstract}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/25/20/2692.full.pdf}, citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/25/20/2692}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19628502}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19628502}, day = {15}, doi = {10.1093/bioinformatics/btp444}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {gene\_expression, integration, meta-analysis, r}, month = {October}, number = {20}, pages = {2692--2699}, posted-at = {2009-10-26 18:01:13}, priority = {0}, title = {Moderated effect size and P-value combinations for microarray meta-analyses}, url = {http://dx.doi.org/10.1093/bioinformatics/btp444}, volume = {25}, year = {2009} }

TY - JOUR ID - citeulike:5445449 L3 - citeulike-article-id:5445449 N2 - 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 10.1093/bioinformatics/btp444 IS - 20 JF - Bioinformatics SN - 1460-2059 EP - 2699 TI - Moderated effect size and P-value combinations for microarray meta-analyses VL - 25 T2 - Bioinformatics SP - 2692 KW - gene_expression KW - integration KW - meta-analysis KW - r AU - Marot, Guillemette AU - Foulley, Jean-Louis AU - Mayer, Claus-Dieter AU - Jaffrezic, Florence PY - 2009/10/15/ UR - http://dx.doi.org/10.1093/bioinformatics/btp444 ER -