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

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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
Date of publication
None
Maintainer
Dong Li <dxl466@cs.bham.ac.uk>
License
GPL (>= 2)
Version
1.0.0

View on Bioconductor

Man pages

CompareAllNets
Illustration of network comparison
comparemodulestwonets
Illustration of two networks comparison
datExpr1
datExpr1
datExpr2
datExpr2
PartitionDensity
Illustration of partition density
PartitionModularity
Illustration of modularity density
WeightedModulePartitionDensity
Illustration of Modules detection

Files in this package

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