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.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, Non-U.S. Gov't
MeSH terms
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Algorithms
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Computational Biology / methods*
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Computer Simulation
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Disease Progression
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Evolution, Molecular
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Humans
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Information Theory
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Male
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Models, Theoretical
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Neoplasms / metabolism*
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Neoplasms / pathology*
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Nonlinear Dynamics
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Prostatic Neoplasms / pathology
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Stochastic Processes
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Systems Biology