Package: DART 1.61.0

Charles Shijie Zheng

DART: Denoising Algorithm based on Relevance network Topology

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.

Authors:Yan Jiao, Katherine Lawler, Andrew E Teschendorff, Charles Shijie Zheng

DART_1.61.0.tar.gz
DART_1.61.0.zip(r-4.7)DART_1.61.0.zip(r-4.6)DART_1.61.0.zip(r-4.5)
DART_1.61.0.tgz(r-4.6-any)DART_1.61.0.tgz(r-4.5-any)
DART_1.61.0.tar.gz(r-4.7-any)DART_1.61.0.tar.gz(r-4.6-any)
DART_1.61.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
DART/json (API)
NEWS

# Install 'DART' in R:
install.packages('DART', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dataDART - Example data for DART package

On BioConductor:DART-1.61.0(bioc 3.24)DART-1.60.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

geneexpressiondifferentialexpressiongraphandnetworkpathways

4.30 score 1 scripts 496 downloads 182 mentions 6 exports 11 dependencies

Last updated from:ccc8d18717. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR146
linux-devel-x86_64NOTE155
source / vignettesOK233
linux-release-x86_64NOTE165
macos-release-arm64NOTE93
macos-oldrel-arm64NOTE117
windows-develNOTE89
windows-releaseNOTE73
windows-oldrelNOTE93
wasm-releaseOK110

Exports:BuildRNDoDARTDoDARTCLQEvalConsNetPredActScorePruneNet

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

DART Tutorial

Rendered fromDART.Rnwusingutils::Sweaveon May 28 2026.

Last update: 2015-05-23
Started: 2013-11-01