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.
Click here for original story, A more effective experimental design for engineering a cell into a new state
Source: ScienceDaily