Fig. 1: Overview of BIT’s framework.
From: BIT: Bayesian Identification of Transcriptional regulators from epigenomics-based query region sets
a Transcription regulators (TRs), such as transcription factors, cofactors, and chromatin modulators, mostly bind to accessible chromatin regions to regulate gene transcription. NGS techniques such as TR ChIP-seq and ATAC-seq can acquire information on TR binding sites and accessible regions, respectively. Input regions and collected TR ChIP-seq peaks are transformed into binary vectors, where the proportion of the matching cases among all informative cases serves as the response variable. b BIT is a Bayesian hierarchical model, combined with Pólya-Gamma data augmentation, to integrate information from multiple TRs and multiple ChIP-seq datasets. c A Gibbs sampler is used to draw posterior samples and estimate key model parameters. d TR-level BIT scores are generated and ranked to output a TR ranking list. This figure has elements created in BioRender. Lu, Z. (2025) https://BioRender.com/4cshxif.
