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

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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("MODA")
AuthorDong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He
Bioconductor views DifferentialExpression GeneExpression Microarray Network
Date of publicationNone
MaintainerDong Li <dxl466@cs.bham.ac.uk>
LicenseGPL (>= 2)
Version1.0.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/MODA.R
build
build/vignette.rds
data
data/synthetic.RData
inst
inst/NEWS
inst/doc
inst/doc/MODA.R
inst/doc/MODA.Rnw
inst/doc/MODA.pdf
man
man/CompareAllNets.Rd man/PartitionDensity.Rd man/PartitionModularity.Rd man/WeightedModulePartitionDensity.Rd man/comparemodulestwonets.Rd man/datExpr1.Rd man/datExpr2.Rd
vignettes
vignettes/MODA.Rnw

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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