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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 802512, 8 pages
http://dx.doi.org/10.1155/2013/802512
Research Article

In Vivo Imaging-Based Mathematical Modeling Techniques That Enhance the Understanding of Oncogene Addiction in relation to Tumor Growth

1Department of Electrical Engineering, Stanford University School of Medicine, Stanford, CA 94305, USA
2Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
3Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA

Received 21 December 2012; Accepted 15 February 2013

Academic Editor: Kumar Durai

Copyright © 2013 Chinyere Nwabugwu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Chinyere Nwabugwu, Kavya Rakhra, Dean Felsher, and David Paik, “In Vivo Imaging-Based Mathematical Modeling Techniques That Enhance the Understanding of Oncogene Addiction in relation to Tumor Growth,” Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 802512, 8 pages, 2013. https://doi.org/10.1155/2013/802512.