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Bioconductor - dcanr

dcanr

This is the released version of dcanr; for the devel version, see dcanr.

Differential co-expression/association network analysis

Bioconductor version: Release (3.21)

This package implements methods and an evaluation framework to infer differential co-expression/association networks. Various methods are implemented and can be evaluated using simulated datasets. Inference of differential co-expression networks can allow identification of networks that are altered between two conditions (e.g., health and disease).

Author: Dharmesh D. Bhuva [aut, cre] ORCID: 0000-0002-6398-9157

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

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

To install this package, start R (version "4.5") 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.

Documentation

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

browseVignettes("dcanr")

Details biocViews DifferentialExpression, GraphAndNetwork, Network, NetworkInference, Software Version 1.24.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL-3 Depends R (>= 3.6.0) Imports igraph, foreach, plyr, stringr, reshape2, methods, Matrix, graphics, stats, RColorBrewer, circlize, doRNG System Requirements URL https://davislaboratory.github.io/dcanr/ https://github.com/DavisLaboratory/dcanr Bug Reports https://github.com/DavisLaboratory/dcanr/issues See More Suggests EBcoexpress, testthat, EBarrays, GeneNet, mclust, minqa, SummarizedExperiment, Biobase, knitr, rmarkdown, BiocStyle, edgeR Linking To Enhances parallel, doSNOW, doParallel Depends On Me Imports Me ClassifyR, multiWGCNA, SingscoreAMLMutations Suggests Me Links To Me Build Report Build Report Package Archives

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

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