Markup Languages for In Silico Oncology

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 comm...

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Bibliographic Details
Main Authors: Johnson, D, Cooper, J, McKeever, S
Format: Conference item
Published: Online 2010