Package: SIMD 1.25.0
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_1.25.0.tar.gz
SIMD_1.25.0.zip(r-4.5)SIMD_1.25.0.zip(r-4.4)SIMD_1.25.0.zip(r-4.3)
SIMD_1.25.0.tgz(r-4.4-x86_64)SIMD_1.25.0.tgz(r-4.4-arm64)SIMD_1.25.0.tgz(r-4.3-x86_64)SIMD_1.25.0.tgz(r-4.3-arm64)
SIMD_1.25.0.tar.gz(r-4.5-noble)SIMD_1.25.0.tar.gz(r-4.4-noble)
SIMD_1.25.0.tgz(r-4.4-emscripten)SIMD_1.25.0.tgz(r-4.3-emscripten)
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')) |
On BioConductor:SIMD-1.25.0(bioc 3.21)SIMD-1.24.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologydifferentialmethylationsinglecelldifferentialexpression
Last updated 23 days agofrom:6259f020b6. Checks:OK: 4 NOTE: 5. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 19 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 19 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 19 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 19 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 19 2024 |
| R-4.3-win-x86_64 | OK | Nov 19 2024 |
| R-4.3-mac-x86_64 | OK | Nov 19 2024 |
| R-4.3-mac-aarch64 | OK | Nov 19 2024 |
