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: <http://biorxiv.org/content/early/2016/08/25/071514>.
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 stanford.edu> |
License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
URL: | http://biorxiv.org/content/early/2016/08/25/071514 |
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: MetaIntegrator_1.0.3.zip, r-release: MetaIntegrator_1.0.3.zip, r-oldrel: MetaIntegrator_1.0.3.zip |
OS X El Capitan binaries: | r-release: not available |
OS X Mavericks binaries: | r-oldrel: MetaIntegrator_1.0.3.tgz |
Old sources: | MetaIntegrator archive |
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