Package: DIME 1.3.0
DIME: Differential Identification using Mixture Ensemble
A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing) comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in: Taslim et al., (2011) <doi:10.1093/bioinformatics/btr165>.
Authors:
DIME_1.3.0.tar.gz
DIME_1.3.0.zip(r-4.5)DIME_1.3.0.zip(r-4.4)DIME_1.3.0.zip(r-4.3)
DIME_1.3.0.tgz(r-4.4-x86_64)DIME_1.3.0.tgz(r-4.4-arm64)DIME_1.3.0.tgz(r-4.3-x86_64)DIME_1.3.0.tgz(r-4.3-arm64)
DIME_1.3.0.tar.gz(r-4.5-noble)DIME_1.3.0.tar.gz(r-4.4-noble)
DIME_1.3.0.tgz(r-4.4-emscripten)DIME_1.3.0.tgz(r-4.3-emscripten)
DIME.pdf |DIME.html✨
DIME/json (API)
| # Install 'DIME' in R: |
| install.packages('DIME', repos = c('https://olechnwin.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:4c34813ded. Checks:OK: 4 NOTE: 5. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 22 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 22 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 22 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 22 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 22 2024 |
| R-4.3-win-x86_64 | OK | Nov 22 2024 |
| R-4.3-mac-x86_64 | OK | Nov 22 2024 |
| R-4.3-mac-aarch64 | OK | Nov 22 2024 |
Exports:DIMEDIME.classifyDIME.plot.fitgng.classifygng.fitgng.plot.compgng.plot.fitgng.plot.mixgng.plot.qqgng.qq.plot.internalhuberinudge.classifyinudge.fitinudge.plot.compinudge.plot.fitinudge.plot.mixinudge.plot.qqinudge.qq.plot.internalnudge.classifynudge.fitnudge.plot.compnudge.plot.fitnudge.plot.mixnudge.plot.qq
Dependencies:
