Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
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.
