Literature DB >> 7827416

Simulating the process of malignant transformation.

E G Luebeck1, S H Moolgavkar.   

Abstract

A computationally efficient method for the simulation of carcinogenesis is presented. The underlying model for the process is the two-mutation clonal expansion model with explicit consideration of stochastic growth of malignant tumors. The usual likelihood-based methods of analysis ignore the growth kinetics of malignant tumors. The effect of this oversight on estimation of parameters is explored by simulation.

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Year:  1994        PMID: 7827416     DOI: 10.1016/0025-5564(94)90008-6

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  1 in total

1.  Modeling progression in radiation-induced lung adenocarcinomas.

Authors:  Hatim Fakir; Werner Hofmann; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2010-01-08       Impact factor: 1.925

  1 in total

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