mCSEA
This is the released version of mCSEA; for the devel version, see mCSEA.
Methylated CpGs Set Enrichment Analysis
Bioconductor version: Release (3.20)
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("mCSEA")
):
Installation
To install this package, start R (version "4.4") 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
Reference Manual | |
NEWS | Text |
Details
biocViews | DNAMethylation, DifferentialMethylation, Epigenetics, Genetics, GenomeAnnotation, ImmunoOncology, MethylationArray, Microarray, MultipleComparison, Software, TwoChannel |
Version | 1.25.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (6.5 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 | |
URL |
See More
Suggests | Biobase, BiocGenerics, BiocStyle, FlowSorted.Blood.450k, knitr, leukemiasEset, minfi, minfiData, rmarkdown, RUnit |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | mCSEA_1.25.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/mCSEA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/mCSEA |
Bioc Package Browser | https://code.bioconductor.org/browse/mCSEA/ |
Package Short Url | https://bioconductor.org/packages/mCSEA/ |
Package Downloads Report | Download Stats |