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>.


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] stanford.edu

For the current version on CRAN:

install.packages("MetaIntegrator")

For the current development version:

Run the following lines in R:

library(devtools)

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: http://khatrilab.bitbucket.org/MetaIntegratorVignette/

News

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

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("MetaIntegrator")

1.0.3 by Winston A. Haynes, a year ago


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


Browse source code at https://github.com/cran/MetaIntegrator


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