[1109.1364v1] Programmable models of growth and mutation of cancer-cell populations
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Computer Science > Computational Engineering, Finance, and Science

arXiv:1109.1364v1 (cs)
[Submitted on 7 Sep 2011]

Title:Programmable models of growth and mutation of cancer-cell populations

Authors:Luca Bortolussi (Dept. of Mathematics and Informatics, University of Trieste, Italy.), Alberto Policriti (Dept. of Mathematics and Informatics, University of Udine, Italy. Institute of Applied Genomics, Udine, Italy.)
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Abstract:In this paper we propose a systematic approach to construct mathematical models describing populations of cancer-cells at different stages of disease development. The methodology we propose is based on stochastic Concurrent Constraint Programming, a flexible stochastic modelling language. The methodology is tested on (and partially motivated by) the study of prostate cancer. In particular, we prove how our method is suitable to systematically reconstruct different mathematical models of prostate cancer growth - together with interactions with different kinds of hormone therapy - at different levels of refinement.
Comments: In Proceedings CompMod 2011, arXiv:1109.1044
Subjects: Computational Engineering, Finance, and Science (cs.CE); Cell Behavior (q-bio.CB)
ACM classes: J.3; I.6.5; I.6.2
Cite as: arXiv:1109.1364 [cs.CE]
  (or arXiv:1109.1364v1 [cs.CE] for this version)
  https://doi.org/10.48550/arXiv.1109.1364
Journal reference: EPTCS 67, 2011, pp. 19-33
Related DOI: https://doi.org/10.4204/EPTCS.67.4

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Wed, 7 Sep 2011 06:27:16 UTC (860 KB)
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