CisTransCell: Single-Cell Perturbation Prediction via Gene Function, Regulatory Control, and Cellular Context
Researchers have developed CisTransCell, a new framework designed to predict cellular transcriptional responses to genetic perturbations. This model integrates gene function, regulatory control, and cellular context to improve accuracy, particularly in zero-shot scenarios where the perturbed gene is novel. CisTransCell models perturbation effects as a cascade, starting from gene function and moving through regulatory control to downstream transcriptional changes, demonstrating strong performance on benchmark datasets. AI