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dcanr

Differential co-expression/association network analysis

Bioconductor version: 3.23 · Package version: 1.28.0

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).

Installation

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

BiocManager::install("dcanr")

Details

MaintainerDharmesh D. Bhuva <bhuva.d@wehi.edu.au>
AuthorDharmesh D. Bhuva [aut, cre] (ORCID: <https://orcid.org/0000-0002-6398-9157>)
LicenseGPL-3
URLhttps://davislaboratory.github.io/dcanr/, https://github.com/DavisLaboratory/dcanr
Bug Reportshttps://github.com/DavisLaboratory/dcanr/issues
Downloads rank459
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GraphAndNetwork, Network, NetworkInference, Software

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

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

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

Enhances: parallel, doSNOW, doParallel

Reverse dependencies

Imports Me (2): ClassifyR, multiWGCNA