dcanr
Differential co-expression/association network analysis
Bioconductor version: Release (3.19)
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] 
Maintainer: Dharmesh D. Bhuva <bhuva.d at wehi.edu.au>
citation("dcanr")):
Installation
To install this package, start R (version "4.4") 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")| 1. Differential co-expression analysis | HTML | R Script |
| 2. DC method evaluation | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GraphAndNetwork, Network, NetworkInference, Software |
| Version | 1.20.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (5.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.6.0) |
| Imports | igraph, foreach, plyr, stringr, reshape2, methods, Matrix, graphics, stats, RColorBrewer, circlize, doRNG |
| System Requirements | |
| 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 | multiWGCNA, SingscoreAMLMutations |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | dcanr_1.20.0.tar.gz |
| Windows Binary (x86_64) | dcanr_1.20.0.zip |
| macOS Binary (x86_64) | dcanr_1.20.0.tgz |
| macOS Binary (arm64) | dcanr_1.20.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/dcanr |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/dcanr |
| Bioc Package Browser | https://code.bioconductor.org/browse/dcanr/ |
| Package Short Url | https://bioconductor.org/packages/dcanr/ |
| Package Downloads Report | Download Stats |