Bayesian optimization framework
Computational MethodThe Bayesian optimization framework is a computational method built from high-throughput Lustro measurements to guide control of blue light-sensitive optogenetic systems. It uses data-driven learning, uncertainty quantification, and experimental design to identify light induction conditions for multiplexed regulation in Saccharomyces cerevisiae.