To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DART")
In most cases, you don't need to download the package archive at all.
This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see DART.
Bioconductor version: 3.0
Denoising Algorithm based on Relevance network Topology (DART) is an algorithm designed to evaluate the consistency of prior information molecular signatures (e.g in-vitro perturbation expression signatures) in independent molecular data (e.g gene expression data sets). If consistent, a pruning network strategy is then used to infer the activation status of the molecular signature in individual samples.
Author: Yan Jiao, Katherine Lawler, Andrew E Teschendorff
Maintainer: Katherine Lawler <katherine.lawler at kcl.ac.uk>
Citation (from within R,
enter citation("DART")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DART")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DART")
Follow Installation instructions to use this package in your R session.
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