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DART

Denoising Algorithm based on Relevance network Topology

Bioconductor version: 3.24 · Package version: 1.61.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DART")

Details

MaintainerCharles Shijie Zheng <charles_zheng@live.com>
AuthorYan Jiao, Katherine Lawler, Andrew E Teschendorff, Charles Shijie Zheng
LicenseGPL-2
Downloads rank554
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageDART_1.61.0.tar.gz
Windows binary (x86_64)DART_1.61.0.zip
macOS binary (arm64)DART_1.61.0.tgz
macOS binary (x86_64)DART_1.61.0.tgz
Dependencies

Depends: R (>= 2.10.0), igraph (>= 0.6.0)

Suggests: breastCancerVDX, breastCancerMAINZ, Biobase