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regionalpcs

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18

Summarizing Regional Methylation with Regional Principal Components Analysis


Bioconductor version: Release (3.23)

Functions to summarize DNA methylation data using regional principal components. Regional principal components are computed using principal components analysis within genomic regions to summarize the variability in methylation levels across CpGs. The number of principal components is chosen using either the Marcenko-Pasteur or Gavish-Donoho method to identify relevant signal in the data.

Author: Tiffany Eulalio [aut, cre] ORCID iD ORCID: 0000-0002-7084-9646

Maintainer: Tiffany Eulalio <tyeulalio at gmail.com>

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

Tiffany Eulalio. regionalpcs: Summarizing Regional Methylation with Regional Principal Components Analysis. doi:10.18129/B9.bioc.regionalpcs, R package version 1.10.0, https://bioconductor.org/packages/regionalpcs.

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("regionalpcs")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("regionalpcs")
regionalpcs HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews DNAMethylation, DifferentialMethylation, MethylationArray, Software, StatisticalMethod
Version1.10.0
In Bioconductor sinceBioC 3.18 (R-4.3) (3 years)
License MIT + file LICENSE
Depends R (>= 4.3.0)
Imports dplyr, PCAtools, tibble, GenomicRanges
System Requirements
URLhttps://github.com/tyeulalio/regionalpcs
Bug Reportshttps://github.com/tyeulalio/regionalpcs/issues
See More
Suggests knitr, rmarkdown, RMTstat, testthat (>= 3.0.0), BiocStyle, tidyr, minfiData, TxDb.Hsapiens.UCSC.hg19.knownGene, IRanges
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Package Archives

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

Source Package regionalpcs_1.10.0.tar.gz
Windows Binary (x86_64) regionalpcs_1.10.0.zip
macOS Binary (big-sur-x86_64) regionalpcs_1.10.0.tgz
macOS Binary (sonoma-arm64) regionalpcs_1.10.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/regionalpcs
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/regionalpcs
Package Short Url https://bioconductor.org/packages/regionalpcs/
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