Markup Languages for In Silico Oncology
David Johnson‚ Jonathan Cooper and Steve McKeever
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).