1030-RegVelo: Single-Cell Fate Decisions

Paper Talk · May 25, 2026 · 23m

RegVelo is an advanced deep learning framework designed to study the complex developmental dynamics of single cells by integrating gene regulatory networks (GRNs) with RNA velocity. Unlike previous models that viewed gene transcription in isolation, this method treats cellular transitions as a regulated process, allowing for a more accurate reconstruction of cell fate decisions. By combining scRNA-seq data with prior biological knowledge, the tool creates a predictive, in silico "cell" capable of simulating how specific genetic perturbations influence development. Researchers utilized this…