DART

Denoising Algorithm based on Relevance network Topology


Bioconductor version: Release (3.19)

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 (from within R, enter 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")
DART Tutorial PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software
Version 1.52.0
In Bioconductor since BioC 2.10 (R-2.15) (12.5 years)
License GPL-2
Depends R (>= 2.10.0), igraph (>= 0.6.0)
Imports
System Requirements
URL
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Suggests breastCancerVDX, breastCancerMAINZ, Biobase
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Package Archives

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

Source Package DART_1.52.0.tar.gz
Windows Binary DART_1.52.0.zip (64-bit only)
macOS Binary (x86_64) DART_1.52.0.tgz
macOS Binary (arm64) DART_1.52.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DART
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DART
Bioc Package Browser https://code.bioconductor.org/browse/DART/
Package Short Url https://bioconductor.org/packages/DART/
Package Downloads Report Download Stats