A more effective experimental design for engineering a cell into a new state

A new machine-learning approach helps scientists more efficiently identify the optimal intervention to achieve a certain outcome in a complex system, such as genome regulation, requiring far fewer experimental trials than other methods.

Related Keywords

Themistoklisp Sapsis ,Caroline Uhler ,Jiaqi Zhang ,Harvard University ,Watson Ai Lab ,Broad Institute ,Department Of Electrical Engineering ,Office Of Naval Research ,Wendy Schmidt Center ,Institute For Data ,Office Of Scientific Research ,National Science Foundation Graduate Fellowship ,Laboratory For Information ,Electrical Engineering ,Computer Science ,Decision Systems ,Nature Machine Intelligence ,Wendy Schmidt Center Fellow ,Naval Research ,Machine Learning ,Simons Investigator Award ,Air Force Office ,Scientific Research ,National Science Foundation Graduate ,