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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Veröffentlicht in:	Network modeling and analysis in health informatics and bioinformatics (Wien) Jg. 1; H. 3; S. 117 - 133
Hauptverfasser:	Bortolussi, Luca, Policriti, Alberto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 01.09.2012 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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