Systems biology and cancer: promises and perils
- PMID: 21419159
- PMCID: PMC3156977
- DOI: 10.1016/j.pbiomolbio.2011.03.002
Systems biology and cancer: promises and perils
Abstract
Systems biology uses systems of mathematical rules and formulas to study complex biological phenomena. In cancer research there are three distinct threads in systems biology research: modeling biology or biophysics with the goal of establishing plausibility or obtaining insights, modeling based on statistics, bioinformatics, and reverse engineering with the goal of better characterizing the system, and modeling with the goal of clinical predictions. Using illustrative examples we discuss these threads in the context of cancer research.
Published by Elsevier Ltd.
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References
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- Aijo T, Landesmaki H. Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics. Bioinformatics. 2009;25:2937–2944. - PubMed
-
- Baker SG. The central role of Receiver Operating Characteristic (ROC) curves in evaluating tests for the early detection of cancer. J Natl Cancer Inst. 2003;95:511–5. - PubMed
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