Bioconductor version: Release (3.16)
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.
Author: Yuanning Zheng [aut, cre], John Jun [aut], Olivier Gevaert [aut]
Maintainer: Yuanning Zheng <eric2021 at stanford.edu>
Citation (from within R,
enter citation("EpiMix")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("EpiMix")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EpiMix")
HTML | R Script | vignette |
Reference Manual | ||
Text | NEWS |
biocViews | DNAMethylation, DifferentialMethylation, Epigenetics, GeneExpression, Preprocessing, Software |
Version | 1.0.1 |
In Bioconductor since | BioC 3.16 (R-4.2) (< 6 months) |
License | GPL-3 |
Depends | R (>= 4.2.0), EpiMix.data(>= 0.99.2) |
Imports | AnnotationHub, AnnotationDbi, Biobase, biomaRt, data.table, doParallel, doSNOW, downloader, dplyr, ELMER.data, ExperimentHub, foreach, GenomeInfoDb, GenomicFeatures, GenomicRanges, GEOquery, ggplot2, graphics, grDevices, impute, IRanges, limma, methods, parallel, plyr, progress, R.matlab, RColorBrewer, RCurl, rlang, RPMM, S4Vectors, stats, SummarizedExperiment, tibble, tidyr, utils |
LinkingTo | |
Suggests | BiocStyle, clusterProfiler, karyoploteR, knitr, org.Hs.eg.db, regioneR, Seurat, survival, survminer, TxDb.Hsapiens.UCSC.hg19.knownGene, RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/gevaertlab/EpiMix/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | EpiMix_1.0.1.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | EpiMix_1.0.1.tgz |
macOS Binary (arm64) | EpiMix_1.0.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/EpiMix |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/EpiMix |
Bioc Package Browser | https://code.bioconductor.org/browse/EpiMix/ |
Package Short Url | https://bioconductor.org/packages/EpiMix/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.16 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: