Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses

MOTIVATION: In recent years, the well-known Infinite Sites Assumption has been a fundamental feature of computational methods devised for reconstructing tumor phylogenies and inferring cancer progressions. However, recent studies leveraging single-cell sequencing (SCS) techniques have shown evidence...

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Detalles Bibliográficos
Autores principales: Ciccolella, Simone, Ricketts, Camir, Soto Gomez, Mauricio, Patterson, Murray, Silverbush, Dana, Bonizzoni, Paola, Hajirasouliha, Iman, Della Vedova, Gianluca
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/PMC8058767/
https://www.ncbi.nlm.nih.gov/pubmed/32805010
http://dx.doi.org/10.1093/bioinformatics/btaa722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058767/
https://www.ncbi.nlm.nih.gov/pubmed/32805010
http://dx.doi.org/10.1093/bioinformatics/btaa722

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