Description
In this research we consider stochastic models of Glioblastoma Multiforme brain tumors. We first look at a model by K. Swanson et al., which describes the dynamics as random diffusion plus deterministic logistic growth. We introduce a stochastic component in the logistic growth in the form of a random growth rate defined by a Poisson process.
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Contributors
- Manning, Michael Clare (Author)
- Kostelich, Eric (Thesis director)
- Kuang, Yang (Committee member)
- Gardner, Carl (Committee member)
- Barrett, The Honors College (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
- School of Letters and Sciences (Contributor)
- School of Human Evolution and Social Change (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013-12
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