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Bioconductor - DART (development version)

This is the development version of DART; for the stable release version, see DART.

Bioconductor version: Development (3.22)

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.

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

Maintainer: Charles Shijie Zheng <charles_zheng at live.com>

To install this package, start R (version "4.5") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DART")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DART")

Follow Installation instructions to use this package in your R session.

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