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
| Maintainer | Xu Ren <xuren2120@gmail.com> |
| Author | Xu Ren [aut, cre], Pei Fen Kuan [aut] |
| License | GPL-2 |
| URL | https://github.com/reese3928/methylGSA |
| Bug Reports | https://github.com/reese3928/methylGSA/issues |
| Downloads rank | 392 |
| Source branch | RELEASE_3_23 |
| biocViews | DNAMethylation, 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