Package: RTN
Type: Package
Title: Reconstruction of transcriptional networks and analysis of
        master regulators
Version: 2.6.3
Author: Mauro Castro, Xin Wang, Michael Fletcher, Florian Markowetz and Kerstin Meyer
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>
Depends: R (>= 3.3.3), methods
Imports: RedeR, minet, viper, mixtools, snow, limma, data.table,
        IRanges, igraph, S4Vectors, SummarizedExperiment
Suggests: RUnit, BiocGenerics, BiocStyle, knitr, rmarkdown
Description: This package provides classes and methods for transcriptional network inference and analysis. Modulators of transcription factor activity are assessed by conditional mutual information, and master regulators are mapped to phenotypes using different strategies, e.g., gene set enrichment, shadow and synergy analyses. Additionally, master regulators can be linked to genetic markers using eQTL/VSE analysis, taking advantage of the haplotype block structure mapped to the human genome in order to explore risk-associated SNPs identified in GWAS studies.
License: Artistic-2.0
biocViews: NetworkInference, NetworkEnrichment, GeneRegulation,
        GeneExpression, GraphAndNetwork, GeneSetEnrichment,
        GeneticVariability, SNP
VignetteBuilder: knitr
URL: http://dx.doi.org/10.1038/ncomms3464
Collate: ClassUnions.R AllChecks.R AllClasses.R AllGenerics.R
        AllSupplementsTNA.R AllSupplementsTNI.R AllSupplementsAVS.R
        AllPlotsTNA.R AllPlotsAVS.R TNA-methods.R TNI-methods.R
        AVS-methods.R TNI-pruning.R
LazyLoad: yes
git_url: https://git.bioconductor.org/packages/RTN
git_branch: RELEASE_3_8
git_last_commit: ccc7d72
git_last_commit_date: 2019-03-25
Date/Publication: 2019-03-26
NeedsCompilation: no
Packaged: 2019-03-27 01:51:58 UTC; biocbuild
Built: R 3.5.3; ; 2019-03-27 11:26:47 UTC; windows
