To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ChIPXpressData")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Contains pre-built mouse (GPL1261) and human (GPL570) database of gene expression profiles to be used for ChIPXpress ranking.
Author: George Wu
Maintainer: George Wu <gewu at jhsph.edu>
Citation (from within R,
enter citation("ChIPXpressData")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ChIPXpressData")
Follow Installation instructions to use this package in your R session.
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