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EpiMix

This is thereleased version of EpiMix; for the devel version, seeEpiMix.

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

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DOI: 10.18129/B9.bioc.EpiMix


Bioconductor version: Release (3.22)

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], Markus Sujansky [aut], John Jun [aut], Olivier Gevaert [aut]

Maintainer: Yuanning Zheng <eric2021 at stanford.edu>

Citation (from within R, entercitation("EpiMix")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EpiMix")
vignetteHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDNAMethylation,DifferentialMethylation,Epigenetics,GeneExpression,Preprocessing,Software
Version1.12.0
In Bioconductor sinceBioC 3.16 (R-4.2) (3 years)
LicenseGPL-3
DependsR (>= 4.2.0),EpiMix.data(>= 1.2.2)
ImportsAnnotationHub,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
System Requirements
URL
Bug Reportshttps://github.com/gevaertlab/EpiMix/issues
See More
SuggestsBiocStyle,clusterProfiler,DT,GEOquery,karyoploteR,knitr,org.Hs.eg.db,regioneR,Seurat,survival,survminer,TxDb.Hsapiens.UCSC.hg19.knownGene,RUnit,BiocGenerics,multiMiR,miRBaseConverter
Linking To
Enhances
Depends On Me
Imports MeMoonlight2R
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageEpiMix_1.12.0.tar.gz
Windows Binary (x86_64) EpiMix_1.12.0.zip (64-bit only)
macOS Binary (x86_64)EpiMix_1.12.0.tgz
macOS Binary (arm64)EpiMix_1.12.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/EpiMix
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/EpiMix
Bioc Package Browserhttps://code.bioconductor.org/browse/EpiMix/
Package Short Urlhttps://bioconductor.org/packages/EpiMix/
Package Downloads ReportDownload Stats

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