DART
This package is for version 3.20 of Bioconductor; for the stable, up-to-date release version, see DART.
Denoising Algorithm based on Relevance network Topology
Bioconductor version: 3.20
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, Charles Shijie Zheng
Maintainer: Charles Shijie Zheng <charles_zheng at live.com>
citation("DART")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DART")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DART")
Details
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Follow Installation instructions to use this package in your R session.