MetaIntegrator: Meta-Analysis of Gene Expression Data

A pipeline for the meta-analysis of gene expression data. We have assembled several analysis and plot functions to perform integrated multi-cohort analysis of gene expression data (meta- analysis). Methodology described in: <>.

Version: 1.0.3
Depends: R (≥ 2.10)
Imports: rmeta, multtest, ggplot2, parallel, Rmisc, reshape, gplots, Biobase, RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb, RSQLite
Suggests: BiocStyle, knitr, rmarkdown, RUnit, BiocGenerics
Published: 2016-09-29
Author: Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Purvesh Khatri
Maintainer: Winston A. Haynes <hayneswa at>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL]
NeedsCompilation: no
Citation: MetaIntegrator citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: MetaIntegrator results


Reference manual: MetaIntegrator.pdf
Vignettes: Analysis of gene expression data
Package source: MetaIntegrator_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: MetaIntegrator_1.0.3.tgz
OS X Mavericks binaries: r-oldrel: MetaIntegrator_1.0.3.tgz
Old sources: MetaIntegrator archive


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