HBA-DEALS

HBA-DEALS applies hierarchical Bayesian statistical methods to perform simultaneous analysis of differential gene expression (DGE) and alternative splicing across biological cohorts.

Key Features:

• Joint DGE and alternative splicing analysis: Performs concurrent characterization of differential gene expression and alternative splicing within the same model.
• Hierarchical Bayesian modeling: Uses hierarchical Bayesian statistical methods to infer expression and splicing differences across multiple samples.
• Gene classification into four categories: Categorizes genes as differentially expressed, differentially spliced, both, or neither.
• Gene set property characterization: Enables analysis of gene sets for structural attributes, functional roles, involvement in protein complexes, and promoter architectures.

Scientific Applications:

• GTEx tissue analysis: Applied to Genotype-Tissue Expression (GTEx) project data to reveal gene sets that predominantly exhibit either differential expression or alternative splicing across tissue types.
• Tissue-specific gene regulation: Distinguishes expression-driven and splicing-driven changes to dissect tissue-specific regulatory mechanisms.
• Disease and therapeutic target investigation: Supports studies of disease pathogenesis and identification of candidate therapeutic targets by separating expression and splicing contributions.
• Genomics and transcriptomics research: Facilitates integrated analyses in genomics, transcriptomics, and systems biology that require joint consideration of expression and splicing.

Methodology:

Hierarchical Bayesian statistical modeling jointly tests differential gene expression and alternative splicing across samples.