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
Dec 14, 2024 at 16:00
License
GPL (>= 2)
Total Downloads
45.2K
Supported Platforms
linux-64
macOS-64