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: <http://biorxiv.org/content/early/2016/08/25/071514>.

Version: 2.0.0
Depends: R (≥ 3.3)
Imports: rmeta, multtest, ggplot2, parallel, Rmisc, gplots, Biobase, RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb, RSQLite, data.table, ggpubr, ROCR, zoo, pracma, COCONUT, Metrics, manhattanly, snplist, DT, pheatmap, plyr, boot, dplyr, reshape2, rmarkdown, AnnotationDbi, HGNChelper, magrittr, readr
Suggests: BiocStyle, knitr, RUnit, BiocGenerics
Published: 2018-10-05
Author: Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Aditya M. Rao, Purvesh Khatri
Maintainer: Aditya M. Rao <adityamr 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

Downloads:

Reference manual: MetaIntegrator.pdf
Vignettes: Analysis of gene expression data
MetaIntegrator Real Example on GEO Data
Package source: MetaIntegrator_2.0.0.tar.gz
Windows binaries: r-devel: MetaIntegrator_2.0.0.zip, r-release: MetaIntegrator_2.0.0.zip, r-oldrel: MetaIntegrator_2.0.0.zip
OS X binaries: r-release: MetaIntegrator_2.0.0.tgz, r-oldrel: MetaIntegrator_2.0.0.tgz
Old sources: MetaIntegrator archive

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