Open AccessCracking the Code of Metabolic Regulation in Biology using Maximum Entropy/Caliber and Reinforcement Learning.
Author(s) -
W. Roger Can,
Samuel Britton,
Mark Alber
Publication year - 2021
Publication title -
proceedings of entropy 2021: the scientific tool of the 21st century
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/entropy2021-09867
Subject(s) - ode , reinforcement learning , principle of maximum entropy , metabolic pathway , computer science , gluconeogenesis , optimal control , mathematical optimization , biological system , mathematics , chemistry , enzyme , biochemistry , biology , artificial intelligence