DOI: 10.18129/B9.bioc.dcanr    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see dcanr.

Differential co-expression/association network analysis

Bioconductor version: 3.12

Methods and an evaluation framework for the inference of differential co-expression/association networks.

Author: Dharmesh D. Bhuva [aut, cre]

Maintainer: Dharmesh D. Bhuva <bhuva.d at wehi.edu.au>

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HTML R Script 1. Differential co-expression analysis
HTML R Script 2. DC method evaluation
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, GraphAndNetwork, Network, NetworkInference, Software
Version 1.6.0
In Bioconductor since BioC 3.9 (R-3.6) (2 years)
License GPL-3
Depends R (>= 3.6.0)
Imports igraph, foreach, plyr, stringr, reshape2, methods, Matrix, graphics, stats, RColorBrewer, circlize, doRNG
Suggests EBcoexpress, testthat, EBarrays, GeneNet, COSINE, mclust, minqa, SummarizedExperiment, Biobase, knitr, rmarkdown, BiocStyle, edgeR
Enhances parallel, doSNOW, doParallel
URL https://davislaboratory.github.io/dcanr/ https://github.com/DavisLaboratory/dcanr
BugReports https://github.com/DavisLaboratory/dcanr/issues
Depends On Me
Imports Me SingscoreAMLMutations
Suggests Me
Links To Me
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Source Package dcanr_1.6.0.tar.gz
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