DART

DOI: 10.18129/B9.bioc.DART    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see DART.

Denoising Algorithm based on Relevance network Topology

Bioconductor version: 3.15

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>

Installation

To install this package, start R (version "4.2") 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")

 

PDF	R Script	DART Tutorial
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software
Version	1.44.0
In Bioconductor since	BioC 2.10 (R-2.15) (10.5 years)
License	GPL-2
Depends	R (>= 2.10.0), igraph (>= 0.6.0)
Imports
LinkingTo
Suggests	breastCancerVDX, breastCancerMAINZ, Biobase
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	DART_1.44.0.tar.gz
Windows Binary	DART_1.44.0.zip
macOS Binary (x86_64)	DART_1.44.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/DART
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/DART
Package Short Url	https://bioconductor.org/packages/DART/
Package Downloads Report	Download Stats