Branching Process Models of Cancer
This volume develops results on continuous time branching processes and applies them to study rate of tumor growth, extending classic work on the Luria-Delbruck distribution. As a consequence, the authors calculate the probability that mutations that confer resistance to treatment are present at det...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Edición: | 1st ed. 2015. |
Colección: | Stochastics in Biological Systems,
1.1 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Multistage Theory of Cancer
- Mathematical Overview
- Branching Process Results
- Time for Z_0 to Reach Size M
- Time Until the First Type 1
- Mutation Before Detection?
- Accumulation of Neutral Mutations
- Properties of the Gamma Function
- Growth of Z_1(t)
- Movements of Z_1(t)
- Luria-Delbruck Distributions
- Number of Type 1's at Time T_M
- Gwoth of Z_k(t)
- Transitions Between Waves
- Time to the First Type \tau_k, k \ge 2
- Application: Metastasis
- Application: Ovarian Cancer
- Application: Intratumor Heterogeneity.