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Computational cell based multi-scale multi-model framework for prediction of fates of cells in cancer biology.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10108284" target="_blank" >RIV/00216208:11320/10:10108284 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.4th-iarwisoci.iccs.ntua.gr/proceedings.pdf" target="_blank" >http://www.4th-iarwisoci.iccs.ntua.gr/proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computational cell based multi-scale multi-model framework for prediction of fates of cells in cancer biology.

  • Original language description

    Mathematical and computational multi-scale multi-model models of complex natural processes are being intensively studied. A natural way to describe and predict complex biological processes is to use multi-scale multi-model models. We describe a computational cell based ('middleout') multi-scale multi-model framework for the prediction of complex biological processes and we demonstrate the usage of the framework in cancer biology.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/7E09024" target="_blank" >7E09024: Clinically oriented translational cancer multilevel modelling (CONTRA CANCRUM)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů