Studying cancer-cell populations by programmable models of networks

We draw the basic lines for an approach to build mathematical and programmable network models, to be applied in the study of populations of cancer-cells at different stages of disease development. The methodology we propose uses a stochastic Concurrent Constraint Programming language, a flexible sto...

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Vydáno v:	Network modeling and analysis in health informatics and bioinformatics (Wien) Ročník 1; číslo 3; s. 117 - 133
Hlavní autoři:	Bortolussi, Luca, Policriti, Alberto
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Vienna Springer Vienna 01.09.2012 Springer Nature B.V
Témata:	Ablation Androgens Applications of Graph Theory and Complex Networks Bioinformatics Cell culture Computational Biology/Bioinformatics Computer Science Health Informatics Mathematical analysis Mathematical models Ordinary differential equations Original Article Population studies Populations Programming languages Prostate cancer Semantics Stochastic models Variables Computational systems biology Prostate tumor Stochastic process algebras Tumor growth modeling
ISSN:	2192-6662, 2192-6670
On-line přístup:	Získat plný text
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