This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see SIMD.
Bioconductor version: 3.16
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,
enter citation("SIMD")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SIMD")
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("SIMD")
HTML | R Script | SIMD Tutorial |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, DifferentialMethylation, ImmunoOncology, SingleCell, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (4.5 years) |
License | GPL-3 |
Depends | R (>= 3.5.0) |
Imports | edgeR, statmod, methylMnM, stats, utils |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
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 | SIMD_1.16.0.tar.gz |
Windows Binary | SIMD_1.16.0.zip |
macOS Binary (x86_64) | SIMD_1.16.0.tgz |
macOS Binary (arm64) | SIMD_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SIMD |
Source Repository (Developer Access) | git clone [email protected]:packages/SIMD |
Bioc Package Browser | https://code.bioconductor.org/browse/SIMD/ |
Package Short Url | https://bioconductor.org/packages/SIMD/ |
Package Downloads Report | Download Stats |
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