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
| Maintainer | Neil Ari Wijetunga <nawijet@gmail.com>, Andrew Damon Johnston <Andrew.Johnston@med.einstein.yu.edu> |
| Author | Neil Ari Wijetunga, Andrew Damon Johnston, John Murray Greally |
| License | GPL (>=2) |
| URL | https://github.com/GreallyLab/SMITE |
| Bug Reports | https://github.com/GreallyLab/SMITE/issues |
| Downloads rank | 602 |
| Source branch | devel |
| biocViews | Coverage, 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 package | SMITE_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