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regionalpcs

Summarizing Regional Methylation with Regional Principal Components Analysis

Bioconductor version: 3.23 · Package version: 1.10.0

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.

Installation

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

BiocManager::install("regionalpcs")

Details

MaintainerTiffany Eulalio <tyeulalio@gmail.com>
AuthorTiffany Eulalio [aut, cre] (ORCID: <https://orcid.org/0000-0002-7084-9646>)
LicenseMIT + file LICENSE
URLhttps://github.com/tyeulalio/regionalpcs
Bug Reportshttps://github.com/tyeulalio/regionalpcs/issues
Downloads rank147
Source branchRELEASE_3_23
biocViewsDNAMethylation, DifferentialMethylation, MethylationArray, Software, StatisticalMethod

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: dplyr, PCAtools, tibble, GenomicRanges

Suggests: knitr, rmarkdown, RMTstat, testthat (>= 3.0.0), BiocStyle, tidyr, minfiData, TxDb.Hsapiens.UCSC.hg19.knownGene, IRanges