High performance model exploration of mutation patterns in an agent-based model of colorectal cancer [electronic resource]

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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: Argonne National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Advanced Scientific Computing Research ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2016.
Description
Item Description:Published through SciTech Connect.
11/13/2016.
"139329"
Computational Approaches for Cancer Workshop at SC16, 11/13/16 - 11/13/16, Salt Lake City, UT.
Ozik, Jonathan; Collier, Nicholson; Wozniak, Justin M.; Macal, Charles; Cockrell, Chase; Stack, Melinda; An, Gary.