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>

Citation (from within R, enter citation("dcanr")):

To install this package, start R (version "4.0") and enter:


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

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("dcanr")

1. Differential co-expression analysis HTML R Script

2. DC method evaluation HTML R Script

Reference Manual PDF

NEWS Text

Version 1.6.0

In Bioconductor since BioC 3.9 (R-3.6) (5 years)

License GPL-3

Depends R (>= 3.6.0)

Imports igraph, foreach, plyr, stringr, reshape2, methods, Matrix, graphics, stats, RColorBrewer, circlize, doRNG

System Requirements

Suggests EBcoexpress, testthat, EBarrays, GeneNet, COSINE, mclust, minqa, SummarizedExperiment, Biobase, knitr, rmarkdown, BiocStyle, edgeR

Linking To

Enhances parallel, doSNOW, doParallel

Depends On Me

Suggests Me

Links To Me

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

Source Package dcanr_1.6.0.tar.gz

Windows Binary dcanr_1.6.0.zip

macOS 10.13 (High Sierra) dcanr_1.6.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/dcanr

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dcanr

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Old Source Packages for BioC 3.12 Source Archive