A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://www.bioconductor.org/packages/release/bioc/html/MODA.html below:

Bioconductor - MODA

MODA

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

MODA: MOdule Differential Analysis for weighted gene co-expression network

Bioconductor version: Release (3.21)

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.

Author: Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He

Maintainer: Dong Li <dxl466 at cs.bham.ac.uk>

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

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("MODA")

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("MODA")
Details biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software Version 1.34.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 years) License GPL (>= 2) Depends R (>= 3.3) Imports grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer System Requirements URL See More Package Archives

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

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4