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Sci Transl Med. 2011 Oct 5;3(103):103ps39. doi: 10.1126/scitranslmed.3003079.

Striking a balance between feasible and realistic biological models.

Author information

  • Columbia Initiative in Systems Biology, Columbia University, New York, NY 10032, USA. califano@c2b2.columbia.edu

Abstract

The fusion of empirical science with large-scale computing platforms has allowed rapid advances in our ability to model physiological and pathophysiological processes in silico. In this week's issue of Science Translational Medicine, Tran et al. present a simple framework for the quantitative modeling of oncogene addiction that provides mechanistic insights into tumor biology.

PMID:
21974934
[PubMed - indexed for MEDLINE]
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