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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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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2012
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3338733/ https://ncbi.nlm.nih.gov/pubmed/22558094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0034637 |
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