gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data

gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data

Abstract Background Cancer progression reconstruction is an important development stemming from the phylogenetics field. In this context, the reconstruction of the phylogeny representing the evolutionary history presents some peculiar aspects that depend on the technology used to obtain the data to...

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Bibliographic Details
Main Authors: Simone Ciccolella, Mauricio Soto Gomez, Murray D. Patterson, Gianluca Della Vedova, Iman Hajirasouliha, Paola Bonizzoni
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Bioinformatics
Subjects:
Integer linear programming
Hill climbing
Phylogeny
Single cell sequencing
Online Access:https://doi.org/10.1186/s12859-020-03736-7

Internet

https://doi.org/10.1186/s12859-020-03736-7

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