MODA
MODA: MOdule Differential Analysis for weighted gene co-expression network
Bioconductor version: 3.23 · Package version: 1.38.0
MODA can be used to estimate and construct condition-specific gene co-expression networks, and identify differentially expressed subnetworks as conserved or condition specific modules which are potentially associated with relevant biological processes.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MODA")Details
| Maintainer | Dong Li <dxl466@cs.bham.ac.uk> |
| Author | Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He |
| License | GPL (>= 2) |
| Downloads rank | 404 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GeneExpression, Microarray, Network, Software |
Download
Follow the installation instructions to use this package in your R session.
| Source package | MODA_1.38.0.tar.gz |
| Windows binary (x86_64) | MODA_1.38.0.zip |
| macOS binary (arm64) | MODA_1.38.0.tgz |
| macOS binary (x86_64) | MODA_1.38.0.tgz |
Dependencies
Depends: R (>= 3.3)
Imports: grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer