Every which way? On predicting tumor evolution using cancer progression models

Successful prediction of the likely paths of tumor progression is valuable for diagnostic, prognostic, and treatment purposes. Cancer progression models (CPMs) use cross-sectional samples to identify restrictions in the order of accumulation of driver mutations and thus CPMs encode the paths of tumo...

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Detalles Bibliográficos
Autores principales: Diaz-Uriarte, Ramon, Vasallo, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693785/
https://www.ncbi.nlm.nih.gov/pubmed/31374072
http://dx.doi.org/10.1371/journal.pcbi.1007246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693785/
https://www.ncbi.nlm.nih.gov/pubmed/31374072
http://dx.doi.org/10.1371/journal.pcbi.1007246

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