Carnegie Mellon algorithm charts evolution of genetic networks during fruit fly life cycle
Published June 22, 2009 by EurekAlert!
(Carnegie Mellon University) A new algorithm developed by Carnegie Mellon University computer scientists has revealed for the first time how genetic networks in the fruit fly, Drosophila melanogaster, evolve during the insect’s life cycle. The new algorithm, called Tesla, incorporates machine learning techniques that enable researchers to figure out how the rewiring of those networks takes place as the insect develops.
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