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EpiMix

EpiMix: an integrative tool for the population-level analysis of DNA methylation

Bioconductor version: 3.24 · Package version: 1.15.0

EpiMix is a comprehensive tool for the integrative analysis of high-throughput DNA methylation data and gene expression data. EpiMix enables automated data downloading (from TCGA or GEO), preprocessing, methylation modeling, interactive visualization and functional annotation.To identify hypo- or hypermethylated CpG sites across physiological or pathological conditions, EpiMix uses a beta mixture modeling to identify the methylation states of each CpG probe and compares the methylation of the experimental group to the control group.The output from EpiMix is the functional DNA methylation that is predictive of gene expression. EpiMix incorporates specialized algorithms to identify functional DNA methylation at various genetic elements, including proximal cis-regulatory elements of protein-coding genes, distal enhancers, and genes encoding microRNAs and lncRNAs.

Installation

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

BiocManager::install("EpiMix")

Details

MaintainerYuanning Zheng <eric2021@stanford.edu>
AuthorYuanning Zheng [aut, cre], Markus Sujansky [aut], John Jun [aut], Olivier Gevaert [aut]
LicenseGPL-3
Bug Reportshttps://github.com/gevaertlab/EpiMix/issues
Downloads rank465
Source branchdevel
biocViewsDNAMethylation, DifferentialMethylation, Epigenetics, GeneExpression, Preprocessing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageEpiMix_1.15.0.tar.gz
Windows binary (x86_64)EpiMix_1.15.0.zip
macOS binary (arm64)EpiMix_1.15.0.tgz
macOS binary (x86_64)EpiMix_1.15.0.tgz
Dependencies

Depends: R (>= 4.2.0), EpiMix.data (>= 1.2.2)

Imports: AnnotationHub, AnnotationDbi, Biobase, biomaRt, data.table, doParallel, doSNOW, downloader, dplyr, ELMER.data, ExperimentHub, foreach, Seqinfo, GenomicFeatures, GenomicRanges, ggplot2, graphics, grDevices, impute, IRanges, limma, methods, parallel, plyr, progress, R.matlab, RColorBrewer, RCurl, rlang, RPMM, S4Vectors, stats, SummarizedExperiment, tibble, tidyr, utils

Suggests: BiocStyle, clusterProfiler, DT, GEOquery, karyoploteR, knitr, org.Hs.eg.db, regioneR, Seurat, survival, survminer, TxDb.Hsapiens.UCSC.hg19.knownGene, RUnit, BiocGenerics, multiMiR, miRBaseConverter

Reverse dependencies

Imports Me (1): Moonlight2R