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Quantifying cancer progression with conjunctive Bayesian networks

Motivation: Cancer is an evolutionary process characterized by accumulating mutations. However, the precise timing and the order of genetic alterations that drive tumor progression remain enigmatic. Results: We present a specific probabilistic graphical model for the accumulation of mutations and th...

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Detalhes bibliográficos
Main Authors: Gerstung, Moritz, Baudis, Michael, Moch, Holger, Beerenwinkel, Niko
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2781752/
https://ncbi.nlm.nih.gov/pubmed/19692554
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp505
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