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: 2.1.3
Depends: R (≥ 3.6)
Imports: BiocManager, rmeta, multtest, ggplot2, parallel, Rmisc, gplots, Biobase, RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb, RSQLite, data.table, ggpubr, ROCR, zoo, pracma, COCONUT, Metrics, manhattanly, DT, pheatmap, plyr, boot, dplyr, reshape2, rmarkdown, AnnotationDbi, HGNChelper, magrittr, readr, plotly, httpuv
Suggests: BiocStyle, knitr, RUnit, BiocGenerics, snplist, magick
Published: 2020-02-26
DOI: 10.32614/CRAN.package.MetaIntegrator
Author: Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Aditya M. Rao, Purvesh Khatri
Maintainer: Aditya M. Rao <adityamr at>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL]
NeedsCompilation: no
Citation: MetaIntegrator citation info
Materials: README NEWS
In views: MetaAnalysis, Omics
CRAN checks: MetaIntegrator results


Reference manual: MetaIntegrator.pdf
Vignettes: Analysis of gene expression data
MetaIntegrator Real Example on GEO Data


Package source: MetaIntegrator_2.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MetaIntegrator_2.1.3.tgz, r-oldrel (arm64): MetaIntegrator_2.1.3.tgz, r-release (x86_64): MetaIntegrator_2.1.3.tgz, r-oldrel (x86_64): MetaIntegrator_2.1.3.tgz
Old sources: MetaIntegrator archive


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