Package: SIMD
Type: Package
Title: Statistical Inferences with MeDIP-seq Data (SIMD) to infer the
        methylation level for each CpG site
Version: 1.31.0
Author: Yan Zhou
Maintainer: Jiadi Zhu <2160090406@email.szu.edu.cn>
Description: 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).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: edgeR, statmod, methylMnM, stats, utils
Suggests: BiocStyle, knitr,rmarkdown
biocViews: ImmunoOncology, DifferentialMethylation,SingleCell,
        DifferentialExpression
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:48:42 UTC
RemoteUrl: https://github.com/bioc/SIMD
RemoteRef: HEAD
RemoteSha: 3d3c8d543db7b7aec583369916e06ca6a0370cbb
NeedsCompilation: yes
Packaged: 2026-07-04 05:57:08 UTC; root