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Article

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

Bioinformatics (Oxford, England) - 20 Apr 2021

Ciccolella Simone, Ricketts Camir, Soto Gomez Mauricio, Patterson Murray, Silverbush Dana, Bonizzoni Paola, Hajirasouliha Iman, Della Vedova Gianluca

Abstract excerpt

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 of the widespread recurrence and, especially, loss of mutations in several tumor samples. While there exist...

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PMID: 32805010
DOI: 10.1093/bioinformatics/btaa722
PMCID: PMC8058767

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