Package: DART 1.53.0

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_1.53.0.tar.gz
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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.

bioconductor-package

6 exports 6.19 score 11 dependencies 182 mentions 19 downloads

Last updated 2 months agofrom:ddf5e2729c

Exports:BuildRNDoDARTDoDARTCLQEvalConsNetPredActScorePruneNet

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

DART Tutorial

Rendered fromDART.Rnwusingutils::Sweaveon Jul 03 2024.

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