A statistical approach for tracking clonal dynamics in cancer using longitudinal next-generation sequencing data

MOTIVATION: Tumours are composed of distinct cancer cell populations (clones), which continuously adapt to their local micro-environment. Standard methods for clonal deconvolution seek to identify groups of mutations and estimate the prevalence of each group in the tumour, while considering its puri...

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Detalles Bibliográficos
Autores principales: Vavoulis, Dimitrios V, Cutts, Anthony, Taylor, Jenny C, Schuh, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055230/
https://www.ncbi.nlm.nih.gov/pubmed/32722772
http://dx.doi.org/10.1093/bioinformatics/btaa672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055230/
https://www.ncbi.nlm.nih.gov/pubmed/32722772
http://dx.doi.org/10.1093/bioinformatics/btaa672

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