Package: DART
Type: Package
Title: Denoising Algorithm based on Relevance network Topology
Version: 1.59.0
Date: 2015-05-23
Author: Yan Jiao, Katherine Lawler, Andrew E Teschendorff, Charles Shijie Zheng
Depends: R (>= 2.10.0), igraph (>= 0.6.0)
Suggests: breastCancerVDX, breastCancerMAINZ, Biobase
Maintainer: Charles Shijie Zheng <charles_zheng@live.com>
Description: 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.
License: GPL-2
LazyLoad: yes
biocViews: GeneExpression, DifferentialExpression, GraphAndNetwork,
        Pathways
NeedsCompilation: no
git_url: https://git.bioconductor.org/packages/DART
git_branch: devel
git_last_commit: 9908860
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
Date/Publication: 2025-10-30
Packaged: 2025-10-30 20:47:13 UTC; biocbuild
