DeepVelo: Revolutionizing RNA Velocity Analysis in Complex Biological Systems

DeepVelo, a novel deep learning method, addresses the limitations of existing RNA velocity estimation techniques by incorporating cell-specific kinetics, enhancing the analysis of complex multi-lineage systems in single-cell RNA sequencing data. It surpasses traditional models by accurately modeling time-varying cellular rates of transcription, splicing, and degradation, enabling more precise inference of cellular states and transitions. This advancement opens new avenues for understanding developmental and pathological processes, offering a powerful tool for the identification of driver genes and the elucidation of differentiation pathways.