bioconductor-ichip
Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
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Description
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.
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Summary
Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Last Updated
Feb 7, 2026 at 03:19
License
GPL-2.0-or-later
Total Downloads
46.1K
Version Downloads
90
Supported Platforms
linux-64
macOS-64