Siri of the cell: what biology could learn from the iPhone.
Modern genomics is very efficient at mapping genes and gene networks, but how to transform these maps into predictive models of the cell remains unclear. Recent progress in computer science, embodied by intelligent agents such as Siri, inspires an approach for moving from networks to multiscale models able to predict a range of cellular phenotypes and answer biological questions.
Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Anne-Ruxandra
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Carvunis
Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: trey@bioeng.ucsd.edu.
Trey
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Ideker
D001185:Artificial Intelligence; D064229:Biological Ontologies; D003585:Cell Biology / Q000639:trends; D053263:Gene Regulatory Networks; D008954:Models, Biological; D009323:Natural Language Processing; D049490:Systems Biology