Striking a balance between feasible and realistic biological models.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 21974934.
- Also identified by DOI 10.1126/scitranslmed.3003079.
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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.
Medical subject headings
- Models, Biological
- Neoplasms