Inferring ongoing cancer evolution from single tumour biopsies using synthetic supervised learning

Variant allele frequencies (VAF) encode ongoing evolution and subclonal selection in growing tumours. However, existing methods that utilize VAF information for cancer evolutionary inference are compressive, slow, or incorrectly specify the underlying cancer evolutionary dynamics. Here, we provide a...

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Detalles Bibliográficos
Autores principales: Ouellette, Tom W., Awadalla, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049314/
https://www.ncbi.nlm.nih.gov/pubmed/35482653
http://dx.doi.org/10.1371/journal.pcbi.1010007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049314/
https://www.ncbi.nlm.nih.gov/pubmed/35482653
http://dx.doi.org/10.1371/journal.pcbi.1010007

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