Package: DIME 1.3.1
Cenny Taslim
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_1.3.1.tar.gz
DIME_1.3.1.zip(r-4.7-x86_64)DIME_1.3.1.zip(r-4.7-arm64)DIME_1.3.1.zip(r-4.6-x86_64)DIME_1.3.1.zip(r-4.6-arm64)
DIME_1.3.1.tar.gz(r-4.7-arm64)DIME_1.3.1.tar.gz(r-4.7-x86_64)DIME_1.3.1.tar.gz(r-4.6-arm64)DIME_1.3.1.tar.gz(r-4.6-x86_64)
DIME_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DIME/json (API)
| # Install 'DIME' in R: |
| install.packages('DIME', repos = c('https://cran.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 from:42d0bf7ecc. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 103 | ||
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 142 | ||
| linux-release-arm64 | OK | 99 | ||
| linux-release-x86_64 | OK | 111 | ||
| windows-devel-arm64 | OK | 179 | ||
| windows-devel-x86_64 | OK | 105 | ||
| windows-release-arm64 | OK | 185 | ||
| windows-release-x86_64 | OK | 61 | ||
| wasm-release | OK | 85 |
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:
