bioconductor-iseq
Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
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Description
Bayesian hidden Ising models are implemented to identify IP-enriched genomic regions from ChIP-seq data. They can be used to analyze ChIP-seq data with and without controls and replicates.
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Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
Last Updated
Dec 14, 2024 at 14:39
License
GPL (>= 2)
Total Downloads
44.5K
Supported Platforms
linux-64
macOS-64