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SIMD

This is thereleased version of SIMD; for the devel version, seeSIMD.

Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site

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DOI: 10.18129/B9.bioc.SIMD


Bioconductor version: Release (3.22)

This package provides a inferential analysis method for detecting differentially expressed CpG sites in MeDIP-seq data. It uses statistical framework and EM algorithm, to identify differentially expressed CpG sites. The methods on this package are described in the article 'Methylation-level Inferences and Detection of Differential Methylation with Medip-seq Data' by Yan Zhou, Jiadi Zhu, Mingtao Zhao, Baoxue Zhang, Chunfu Jiang and Xiyan Yang (2018, pending publication).

Author: Yan Zhou

Maintainer: Jiadi Zhu <2160090406 at email.szu.edu.cn>

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

Installation

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

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

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("SIMD")
SIMD TutorialHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,DifferentialMethylation,ImmunoOncology,SingleCell,Software
Version1.28.0
In Bioconductor sinceBioC 3.8 (R-3.5) (7 years)
LicenseGPL-3
DependsR (>= 3.5.0)
ImportsedgeR,statmod,methylMnM, stats, utils
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSIMD_1.28.0.tar.gz
Windows Binary (x86_64) SIMD_1.28.0.zip (64-bit only)
macOS Binary (x86_64)SIMD_1.28.0.tgz
macOS Binary (arm64)SIMD_1.28.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SIMD
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SIMD
Bioc Package Browserhttps://code.bioconductor.org/browse/SIMD/
Package Short Urlhttps://bioconductor.org/packages/SIMD/
Package Downloads ReportDownload Stats

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