Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction

ArXi:2510.00512v2 Announce Type: replace-cross The transcriptional response to genetic perturbation reveals fundamental insights into complex cellular systems. While current approaches have made progress in predicting genetic perturbation responses, they provide limited biological understanding and cannot systematically refine existing knowledge. Overcoming these limitations requires an end-to-end integration of data-driven learning and existing knowledge.