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Cell. 2014 Apr 24;157(3):534-8. doi: 10.1016/j.cell.2014.03.009.

Siri of the cell: what biology could learn from the iPhone.

Author information

1
Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
2
Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: trey@bioeng.ucsd.edu.

Abstract

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.

PMID:
24766803
PMCID:
PMC4154484
DOI:
10.1016/j.cell.2014.03.009
[Indexed for MEDLINE]
Free PMC Article

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