This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see DART.
Bioconductor version: 3.11
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")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DART")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DART")
R Script | DART Tutorial | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software |
Version | 1.36.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (8.5 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 |
Follow Installation instructions to use this package in your R session.
Source Package | DART_1.36.0.tar.gz |
Windows Binary | DART_1.36.0.zip |
macOS 10.13 (High Sierra) | DART_1.36.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DART |
Source Repository (Developer Access) | git clone [email protected]:packages/DART |
Package Short Url | https://bioconductor.org/packages/DART/ |
Package Downloads Report | Download Stats |
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