SMITE: Significance-based Modules Integrating the Transcriptome and Epigenome
Version 1.6.0

This package builds on the Epimods framework which facilitates finding weighted subnetworks ("modules") on Illumina Infinium 27k arrays using the SpinGlass algorithm, as implemented in the iGraph package. We have created a class of gene centric annotations associated with p-values and effect sizes and scores from any researchers prior statistical results to find functional modules.

Package details

AuthorNeil Ari Wijetunga, Andrew Damon Johnston, John Murray Greally
Bioconductor views Coverage DifferentialExpression DifferentialMethylation GenomeAnnotation Network NetworkEnrichment RNASeq Sequencing SystemsBiology
MaintainerNeil Ari Wijetunga <[email protected]>, Andrew Damon Johnston <[email protected]>
LicenseGPL (>=2)
Version1.6.0
URL https://github.com/GreallyLab/SMITE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("SMITE")

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SMITE documentation built on Nov. 17, 2017, 8:59 a.m.