This is the released version of mitch; for the devel version, see mitch.
Multi-Contrast Gene Set Enrichment AnalysisBioconductor version: Release (3.21)
mitch is an R package for multi-contrast enrichment analysis. At itâs heart, it uses a rank-MANOVA based statistical approach to detect sets of genes that exhibit enrichment in the multidimensional space as compared to the background. The rank-MANOVA concept dates to work by Cox and Mann (https://doi.org/10.1186/1471-2105-13-S16-S12). mitch is useful for pathway analysis of profiling studies with one, two or more contrasts, or in studies with multiple omics profiling, for example proteomic, transcriptomic, epigenomic analysis of the same samples. mitch is perfectly suited for pathway level differential analysis of scRNA-seq data. We have an established routine for pathway enrichment of Infinium Methylation Array data (see vignette). The main strengths of mitch are that it can import datasets easily from many upstream tools and has advanced plotting features to visualise these enrichments.
Author: Mark Ziemann [aut, cre, cph] ORCID: 0000-0002-7688-6974 , Antony Kaspi [aut, cph]
Maintainer: Mark Ziemann <mark.ziemann at gmail.com>
Citation (from within R, entercitation("mitch")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mitch")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mitch")Follow Installation instructions to use this package in your R session.
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