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: <>.

This is README space for metaIntegrator_public. To be filled with a README if necessary, or for internal use if required.

  • This repository is for building and testing the metaIntegrator_public R package
  • Either create an issue or email me: hayneswa [at]

For the current version on CRAN:


For the current development version:

Run the following lines in R:


install_bitbucket("khatrilab/metaintegrator_public", auth_user=USERNAME, password=PASSWORD)

where USERNAME and PASSWORD are your bitbucket username and password.

To read the Vignette go to:


NEW FEATURES o This is the first development release of MetaIntegrator in Bioconductor

Reference manual

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1.0.3 by Winston A. Haynes, 5 months ago

Browse source code at

Authors: Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Purvesh Khatri

Documentation:   PDF Manual  

Task views: Meta-Analysis

LGPL license

Imports rmeta, multtest, ggplot2, parallel, Rmisc, reshape, gplots, Biobase, RMySQL, DBI, stringr, preprocessCore, GEOquery, GEOmetadb, RSQLite

Suggests BiocStyle, knitr, rmarkdown, RUnit, BiocGenerics

See at CRAN