1 Introduction | 2 Preparations | 3 Data format | 4 Data Pre-processing | 5 p-values of SIMD test | 6 Select Significants
Package: SIMD 1.31.0
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:
SIMD_1.31.0.tar.gz
SIMD_1.31.0.zip(r-4.7)SIMD_1.31.0.zip(r-4.6)SIMD_1.31.0.zip(r-4.5)
SIMD_1.31.0.tgz(r-4.6-x86_64)SIMD_1.31.0.tgz(r-4.6-arm64)SIMD_1.31.0.tgz(r-4.5-x86_64)SIMD_1.31.0.tgz(r-4.5-arm64)
SIMD_1.31.0.tar.gz(r-4.7-arm64)SIMD_1.31.0.tar.gz(r-4.7-x86_64)SIMD_1.31.0.tar.gz(r-4.6-arm64)SIMD_1.31.0.tar.gz(r-4.6-x86_64)
SIMD_1.31.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SIMD/json (API)
| # Install 'SIMD' in R: |
| install.packages('SIMD', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:SIMD-1.31.0(bioc 3.24)SIMD-1.30.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologydifferentialmethylationsinglecelldifferentialexpression
Last updated from:3d3c8d543d. Checks:1 ERROR, 11 NOTE, 2 OK. Indexed: yes.
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| wasm-release | OK | 108 |
