AJEinstein/SMITE: Significance-based Modules Integrating the Transcriptome and Epigenome
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.
Getting started
Browse package contents
Package details |
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| Author | Neil Ari Wijetunga, Andrew Damon Johnston, John Murray Greally |
| Bioconductor views | Coverage DifferentialExpression DifferentialMethylation GenomeAnnotation ImmunoOncology Network NetworkEnrichment RNASeq Sequencing SystemsBiology |
| Maintainer | Neil Ari Wijetunga <nawijet@gmail.com>, Andrew Damon Johnston <Andrew.Johnston@med.einstein.yu.edu> |
| License | GPL (>=2) |
| Version | 1.21.2 |
| URL | https://github.com/GreallyLab/SMITE |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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