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Interdiscip Sci. 2010 Jun;2(2):140-4. doi: 10.1007/s12539-010-0072-3. Epub 2010 May 1.

Towards predictive stochastic dynamical modeling of cancer genesis and progression.

Author information

  • 1Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine of Ministry of Education, Shanghai Jiao Tong University, Shanghai, China. aoping@u.washington.edu

Abstract

Based on an innovative endogenous network hypothesis on cancer genesis and progression we have been working towards a quantitative cancer theory along the systems biology perspective. Here we give a brief report on our progress and illustrate that combing ideas from evolutionary and molecular biology, mathematics, engineering, and physics, such quantitative approach is feasible.

PMID:
20640781
[PubMed - indexed for MEDLINE]
PMCID:
PMC3164764
Free PMC Article

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