Stochastic modeling of carcinogenesis: Some new insights

DOI10.1016/S0895-7177(98)00164-2zbMath0987.92020OpenAlexW2073544564MaRDI QIDQ1596790

Wai-Yuan Tan, Chao W. Chen

Publication date: 5 May 2002

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0895-7177(98)00164-2

zbMATH Keywords

state space modelsKalman filter modelsmultievent model of carcinogenesisobservation modelstochastic system modelmixed model of carcinogenesistwo-stage model of carcinogenesisdetectable cancer tumormultiple pathway model of carcinogenesismultivariate model of carcinogenesis

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Medical applications (general) (92C50) Inference from stochastic processes (62M99) Applications of stochastic analysis (to PDEs, etc.) (60H30) Cell biology (92C37)

Related Items (12)

Spatial stochastic models for cancer initiation and progression ⋮ Loss- and gain-of-function mutations in cancer: mass-action, spatial and hierarchical models ⋮ New cancer stochastic models involving both hereditary and nonhereditary cancer cases: a new approach ⋮ A hybrid ten-species phase-field model of tumor growth ⋮ STOCHASTIC MODELING OF LOSS- AND GAIN-OF-FUNCTION MUTATIONS IN CANCER ⋮ Toward predictive multiscale modeling of vascular tumor growth, computational and experimental oncology for tumor prediction ⋮ Assessing effects of changing environment by a multiple pathway model of carcinogenesis ⋮ Stochastic modeling of carcinogenesis by state space models: a new approach ⋮ Probability distribution of the number of initiated cells of carcinogenesis under prevention ⋮ Analysis and numerical solution of stochastic phase‐field models of tumor growth ⋮ Optimal control of stochastic phase-field models related to tumor growth ⋮ Stochastic modeling of carcinogenesis: Some new insights

Cites Work

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