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
| Maintainer | Charles Shijie Zheng <charles_zheng@live.com> |
| Author | Yan Jiao, Katherine Lawler, Andrew E Teschendorff, Charles Shijie Zheng |
| License | GPL-2 |
| Downloads rank | 554 |
| Source branch | devel |
| biocViews | DifferentialExpression, GeneExpression, GraphAndNetwork, Pathways, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | DART_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