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