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mCSEA

This is the released version of mCSEA; for the devel version, see mCSEA.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7

Methylated CpGs Set Enrichment Analysis


Bioconductor version: Release (3.23)

Identification of diferentially methylated regions (DMRs) in predefined regions (promoters, CpG islands...) from the human genome using Illumina's 450K or EPIC microarray data. Provides methods to rank CpG probes based on linear models and includes plotting functions.

Author: Jordi Martorell-Marugán and Pedro Carmona-Sáez

Maintainer: Jordi Martorell-Marugán <jmartorellm at gmail.com>

Citation (from within R, enter citation("mCSEA")):

Jordi Martorell-Marugán and Pedro Carmona-Sáez. mCSEA: Methylated CpGs Set Enrichment Analysis. doi:10.18129/B9.bioc.mCSEA, R package version 1.32.0, https://bioconductor.org/packages/mCSEA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("mCSEA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

No vignettes available
Reference ManualPDF
NEWSText

Details

biocViews DNAMethylation, DifferentialMethylation, Epigenetics, Genetics, GenomeAnnotation, ImmunoOncology, MethylationArray, Microarray, MultipleComparison, Software, TwoChannel
Version1.32.0
In Bioconductor sinceBioC 3.7 (R-3.5) (8.5 years)
License GPL-2
Depends R (>= 3.5), mCSEAdata, Homo.sapiens
Imports biomaRt, fgsea, GenomicFeatures, GenomicRanges, ggplot2, graphics, grDevices, Gviz, IRanges, limma, methods, parallel, S4Vectors, stats, SummarizedExperiment, utils
System Requirements
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Suggests Biobase, BiocGenerics, BiocStyle, FlowSorted.Blood.450k, knitr, leukemiasEset, minfi, minfiData, rmarkdown, RUnit
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package mCSEA_1.32.0.tar.gz
Windows Binary (x86_64) mCSEA_1.31.3.zip
macOS Binary (big-sur-x86_64) mCSEA_1.32.0.tgz
macOS Binary (sonoma-arm64) mCSEA_1.32.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/mCSEA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/mCSEA
Package Short Url https://bioconductor.org/packages/mCSEA/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.23Source Archive