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Markup Languages for In Silico Oncology

Abstract:
In silico models of cancer progression are numerous and diverse. Integration of different cancer models into virtual research environments and computational frameworks require the models themselves to be interoperable across the research community. In this paper we describe a vision to create a common computational framework in which these models can be formulated and stored in online repositories, such as the Center for the Development of a Virtual Tumor’s (CViT) Digital Model Repository (DMR).

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Publisher:
Online
Host title:
Proceedings of the 4th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation (4th IARWISOCI) – The ContraCancrum Workshop
Publication date:
2010-09-01
UUID:
uuid:219ba840-ceac-4321-bc19-610751b7cc53
Local pid:
cs:3805
Deposit date:
2015-03-31

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