Package: DART 1.55.0

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_1.55.0.tar.gz
DART_1.55.0.zip(r-4.5)DART_1.55.0.zip(r-4.4)DART_1.55.0.zip(r-4.3)
DART_1.55.0.tgz(r-4.4-any)DART_1.55.0.tgz(r-4.3-any)
DART_1.55.0.tar.gz(r-4.5-noble)DART_1.55.0.tar.gz(r-4.4-noble)
DART_1.55.0.tgz(r-4.4-emscripten)DART_1.55.0.tgz(r-4.3-emscripten)
DART.pdf |DART.html
DART/json (API)
NEWS

# Install 'DART' in R:
install.packages('DART', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dataDART - Example data for DART package

On BioConductor:DART-1.53.0(bioc 3.20)DART-1.52.0(bioc 3.19)

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

geneexpressiondifferentialexpressiongraphandnetworkpathways

3.30 score 1 scripts 252 downloads 6 exports 11 dependencies

Last updated 23 days agofrom:06d231f158. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:BuildRNDoDARTDoDARTCLQEvalConsNetPredActScorePruneNet

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

DART Tutorial

Rendered fromDART.Rnwusingutils::Sweaveon Oct 30 2024.

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