Machine learning lets scientists reverse-engineer cellular control networks

Machine learning lets scientists reverse-engineer cellular control networks 03/28/2017 02:56 PM EDT Researchers at Tufts University and the University of Maryland, Baltimore County used machine learning on the Stampede supercomputer to model the cellular control network that determines how tadpoles develop. Using that model, they reverse-engineered a drug intervention that created tadpoles with a form of mixed pigmentation never before seen in nature. They plan to use the method for cancer therapies and regenerative medicine. Full story at https://www.tacc.utexas.edu/-/machine-learning-lets-scientists-reverse-engineer-cellular-control-networks Source University of Texas at Austin, Texas Advanced Computing Center This is an NSF News From the Field item.   Follow NSF:  This email was sent using GovDelivery, on behalf of: National Science Foundation Update · 4201 Wilson Boulevard · Arlington, VA 22230 · 703-292-5111