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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Summary
Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
Last Updated
Feb 7, 2026 at 01:23
License
GPL-2.0-or-later
Total Downloads
45.5K
Version Downloads
112
Supported Platforms
linux-64
macOS-64