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Machine learning lets scientists reverse-engineer cellular control networks


March 22, 2017

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

Source
University of Texas at Austin, Texas Advanced Computing Center

The National Science Foundation (NSF) is an independent federal agency that supports fundamental research and education across all fields of science and engineering. In fiscal year (FY) 2017, its budget is $7.5 billion. NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and other institutions. Each year, NSF receives more than 48,000 competitive proposals for funding and makes about 12,000 new funding awards.

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