Package: iChip 1.61.0
Qianxing Mo
iChip: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Hidden Ising models are implemented to identify enriched genomic regions in ChIP-chip data. They can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.
Authors:
iChip_1.61.0.tar.gz
iChip_1.61.0.zip(r-4.5)iChip_1.61.0.zip(r-4.4)iChip_1.61.0.zip(r-4.3)
iChip_1.61.0.tgz(r-4.4-x86_64)iChip_1.61.0.tgz(r-4.4-arm64)iChip_1.61.0.tgz(r-4.3-x86_64)iChip_1.61.0.tgz(r-4.3-arm64)
iChip_1.61.0.tar.gz(r-4.5-noble)iChip_1.61.0.tar.gz(r-4.4-noble)
iChip_1.61.0.tgz(r-4.4-emscripten)iChip_1.61.0.tgz(r-4.3-emscripten)
iChip.pdf |iChip.html✨
iChip/json (API)
| # Install 'iChip' in R: |
| install.packages('iChip', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:iChip-1.59.0(bioc 3.20)iChip-1.58.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
chipchiponechannelagilentchipmicroarray
Last updated 23 days agofrom:c3b6d48307. Checks:OK: 1 WARNING: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win-x86_64 | WARNING | Oct 30 2024 |
| R-4.5-linux-x86_64 | WARNING | Oct 30 2024 |
| R-4.4-win-x86_64 | WARNING | Oct 30 2024 |
| R-4.4-mac-x86_64 | WARNING | Oct 30 2024 |
| R-4.4-mac-aarch64 | WARNING | Oct 30 2024 |
| R-4.3-win-x86_64 | WARNING | Oct 30 2024 |
| R-4.3-mac-x86_64 | WARNING | Oct 30 2024 |
| R-4.3-mac-aarch64 | WARNING | Oct 30 2024 |
