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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Detalles Bibliográficos
Autores principales: Gerstung, Moritz, Baudis, Michael, Moch, Holger, Beerenwinkel, Niko
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781752/
https://www.ncbi.nlm.nih.gov/pubmed/19692554
http://dx.doi.org/10.1093/bioinformatics/btp505

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781752/
https://www.ncbi.nlm.nih.gov/pubmed/19692554
http://dx.doi.org/10.1093/bioinformatics/btp505

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