Open AccessSiri of the Cell: What Biology Could Learn from the iPhone
Author(s) -
AnneRuxandra Carvunis,
Trey Ideker
Publication year - 2014
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2014.03.009
Subject(s) - phone , reservation , biology , computer science , artificial intelligence , philosophy , computer network , linguistics
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.
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