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SMITE

Significance-based Modules Integrating the Transcriptome and Epigenome

Bioconductor version: 3.24 · Package version: 1.41.0

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.

Installation

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

BiocManager::install("SMITE")

Details

MaintainerNeil Ari Wijetunga <nawijet@gmail.com>, Andrew Damon Johnston <Andrew.Johnston@med.einstein.yu.edu>
AuthorNeil Ari Wijetunga, Andrew Damon Johnston, John Murray Greally
LicenseGPL (>=2)
URLhttps://github.com/GreallyLab/SMITE
Bug Reportshttps://github.com/GreallyLab/SMITE/issues
Downloads rank602
Source branchdevel
biocViewsCoverage, DifferentialExpression, DifferentialMethylation, GenomeAnnotation, ImmunoOncology, Network, NetworkEnrichment, RNASeq, Sequencing, Software, SystemsBiology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSMITE_1.41.0.tar.gz
Windows binary (x86_64)SMITE_1.41.0.zip
macOS binary (arm64)SMITE_1.41.0.tgz
macOS binary (x86_64)SMITE_1.41.0.tgz
Dependencies

Depends: R (>= 3.5), GenomicRanges

Imports: scales, plyr, Hmisc, AnnotationDbi, org.Hs.eg.db, ggplot2, reactome.db, KEGGREST, BioNet, goseq, methods, IRanges, igraph, Biobase, tools, S4Vectors, geneLenDataBase, grDevices, graphics, stats, utils

Suggests: knitr, rmarkdown