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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Detalles Bibliográficos
Autores principales: Newton, Paul K., Mason, Jeremy, Bethel, Kelly, Bazhenova, Lyudmila A., Nieva, Jorge, Kuhn, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338733/
https://www.ncbi.nlm.nih.gov/pubmed/22558094
http://dx.doi.org/10.1371/journal.pone.0034637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338733/
https://www.ncbi.nlm.nih.gov/pubmed/22558094
http://dx.doi.org/10.1371/journal.pone.0034637

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