Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models

Mutation signatures in cancer genomes reflect endogenous and exogenous mutational processes, offering insights into tumour etiology, features for prognostic and biologic stratification and vulnerabilities to be exploited therapeutically. We present a novel machine learning formalism for improved sig...

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Detalles Bibliográficos
Autores principales: Funnell, Tyler, Zhang, Allen W., Grewal, Diljot, McKinney, Steven, Bashashati, Ali, Wang, Yi Kan, Shah, Sohrab P.
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/PMC6402697/
https://www.ncbi.nlm.nih.gov/pubmed/30794536
http://dx.doi.org/10.1371/journal.pcbi.1006799

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402697/
https://www.ncbi.nlm.nih.gov/pubmed/30794536
http://dx.doi.org/10.1371/journal.pcbi.1006799

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