Interpretable machine learning enables de novo mapping of cell type-specific RNA splicing regulation from scRNA-seq data
CASREL is developed, a machine learning framework that infers candidate regulatory circuitry between RNA-binding proteins and alternative splicing from single-cell data, enabling de novo mapping of putative cell-specific regulatory networks.