Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning

摘要

Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desirable ones has received much attention in recent years. Most of the existing methods assume that the cost of intervention at each state and time point, refe