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...
Main Authors: | Paul K Newton, Jeremy Mason, Kelly Bethel, Lyudmila A Bazhenova, Jorge Nieva, Peter Kuhn |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2012-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22558094/?tool=EBI |
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