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("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 | R Script | |
Reference Manual | ||
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 |
See More
Suggests | breastCancerVDX, breastCancerMAINZ, Biobase |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
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 |