As new methods for multivariate analysis of genome wide association studies become available, it is important to be able to combine results from different cohorts in a meta-analysis. The R package MultiMeta provides an implementation of the inverse-variance-based method for meta-analysis, generalized to an n-dimensional setting.



Titolo: MultiMeta: An R package for meta-analyzing multi-phenotype genome-wide association studies
Autori: 
VUCKOVIC, DRAGANA
GASPARINI, PAOLO
mostra contributor esterni 
Data di pubblicazione: 2015
Rivista: 
BIOINFORMATICS  
Abstract: As new methods for multivariate analysis of genome wide association studies become available, it is important to be able to combine results from different cohorts in a meta-analysis. The R package MultiMeta provides an implementation of the inverse-variance-based method for meta-analysis, generalized to an n-dimensional setting.
Handle: http://hdl.handle.net/11368/2881001
Digital Object Identifier (DOI): http://dx.doi.org/10.1093/bioinformatics/btv222
URL: http://bioinformatics.oxfordjournals.org/content/31/16/2754.full.pdf+html
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