iChip
Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Bioconductor version: 3.23 · Package version: 1.66.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iChip")Details
| Maintainer | Qianxing Mo <qianxing.mo@moffitt.org> |
| Author | Qianxing Mo |
| License | GPL (>= 2) |
| Downloads rank | 560 |
| Source branch | RELEASE_3_23 |
| biocViews | AgilentChip, ChIPchip, Microarray, OneChannel, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | iChip_1.66.0.tar.gz |
| Windows binary (x86_64) | iChip_1.66.0.zip |
| macOS binary (arm64) | iChip_1.66.0.tgz |
| macOS binary (x86_64) | iChip_1.66.0.tgz |