Towards predictive stochastic dynamical modeling of cancer genesis and progression

Interdisciplinary Sciences: Computational Life Sciences - Tập 2 Số 2 - Trang 140-144 - 2010
Ao, P.1,2, Galas, D.3, Hood, L.3, Yin, L.4, Zhu, X. M.5
1Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine of Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
2Departments of Mechanical Engineering and Physics, University of Washington, Seattle, USA
3Institute for Systems Biology, Seattle, USA
4School of Physics, Peking University, Beijing, China
5GenMath, Corp., Seattle, USA

Tóm tắt

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.

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Interdisciplinary Sciences: Computational Life Sciences

Tập 2 Số 2

140-144

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