Package: SIMD 1.23.0

Jiadi Zhu

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

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).

Authors:Yan Zhou

SIMD_1.23.0.tar.gz
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SIMD_1.23.0.tgz(r-4.4-arm64)SIMD_1.23.0.tgz(r-4.4-x86_64)SIMD_1.23.0.tgz(r-4.3-arm64)SIMD_1.23.0.tgz(r-4.3-x86_64)
SIMD_1.23.0.tar.gz(r-4.5-noble)SIMD_1.23.0.tar.gz(r-4.4-noble)
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SIMD.pdf |SIMD.html✨
SIMD/json (API)
NEWS

# Install 'SIMD' in R:
install.packages('SIMD', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

    On BioConductor:SIMD-1.23.0(bioc 3.20)SIMD-1.22.0(bioc 3.19)

    This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

    bioconductor-package

    5 exports 0.82 score 7 dependencies 83 mentions

    Last updated 2 months agofrom:dff3bb3ddb

    Exports:EMalgorithmemalgthemalgth1EMtestprobBinom

    Dependencies:edgeRlatticelimmalocfitmethylMnMRcppstatmod

    SIMD Tutorial

    Yan Zhou

    Rendered fromSIMD.Rmdusingknitr::rmarkdownon Jun 15 2024.

    Last update: 2018-08-15
    Started: 2018-06-29