This is the released version of SIMD; for the devel version, see SIMD.
Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG siteBioconductor version: Release (3.21)
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 appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SIMD")Follow Installation instructions to use this package in your R session.
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