Programmable models of growth and mutation of cancer-cell populations
Computational Engineering, Finance, and Science
2011-09-08 v1 Cell Behavior
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.
Keywords
Cite
@article{arxiv.1109.1364,
title = {Programmable models of growth and mutation of cancer-cell populations},
author = {Luca Bortolussi and Alberto Policriti},
journal= {arXiv preprint arXiv:1109.1364},
year = {2011}
}
Comments
In Proceedings CompMod 2011, arXiv:1109.1044