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methylGSA

Gene Set Analysis Using the Outcome of Differential Methylation

Bioconductor version: 3.23 · Package version: 1.30.0

The main functions for methylGSA are methylglm and methylRRA. methylGSA implements logistic regression adjusting number of probes as a covariate. methylRRA adjusts multiple p-values of each gene by Robust Rank Aggregation. For more detailed help information, please see the vignette.

Installation

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

BiocManager::install("methylGSA")

Details

MaintainerXu Ren <xuren2120@gmail.com>
AuthorXu Ren [aut, cre], Pei Fen Kuan [aut]
LicenseGPL-2
URLhttps://github.com/reese3928/methylGSA
Bug Reportshttps://github.com/reese3928/methylGSA/issues
Downloads rank392
Source branchRELEASE_3_23
biocViewsDNAMethylation, DifferentialMethylation, GeneRegulation, GeneSetEnrichment, Pathways, Regression, Software

Documentation

Download

Dependencies

Depends: R (>= 3.5)

Imports: RobustRankAggreg, ggplot2, stringr, stats, clusterProfiler, missMethyl, org.Hs.eg.db, reactome.db, BiocParallel, GO.db, AnnotationDbi, shiny, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19

Suggests: knitr, rmarkdown, testthat, enrichplot