A stochastic Markov chain model to describe lung cancer growth and metastasis.
A stochastic Markov chain model for metastatic progression is developed for primary lung cancer based on a network construction of metastatic sites with dynamics modeled as an ensemble of random walkers on the network. We calculate a transition matrix, with entries (transition probabilities) interpr...
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Autores principales: | Paul K Newton, Jeremy Mason, Kelly Bethel, Lyudmila A Bazhenova, Jorge Nieva, Peter Kuhn |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
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Materias: | |
Acceso en línea: | https://doaj.org/article/3046d3b3f07c422386fca5179f223b72 |
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