To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Rcade")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Rcade.
Bioconductor version: 3.4
Rcade (which stands for "R-based analysis of ChIP-seq And Differential Expression") is a tool for integrating ChIP-seq data with differential expression summary data, through a Bayesian framework. A key application is in identifing the genes targeted by a transcription factor of interest - that is, we collect genes that are associated with a ChIP-seq peak, and differential expression under some perturbation related to that TF.
Author: Jonathan Cairns
Maintainer: Jonathan Cairns <jmcairns200 at gmail.com>
Citation (from within R,
enter citation("Rcade")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Rcade")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Rcade")
Follow Installation instructions to use this package in your R session.
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