Description
Cancer is a disease involving abnormal growth of cells. Its growth dynamics is perplexing. Mathematical modeling is a way to shed light on this progress and its medical treatments. This dissertation is to study cancer invasion in time and space using a mathematical approach. Chapter 1 presents a detailed review of literature on cancer modeling.
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Contributors
- Han, Lifeng (Author)
- Kuang, Yang (Thesis advisor)
- Fricks, John (Thesis advisor)
- Kostelich, Eric (Committee member)
- Baer, Steve (Committee member)
- Gumel, Abba (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2020
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- Doctoral Dissertation Applied Mathematics 2020