BAMSE: Bayesian model selection for tumor phylogeny inference among multiple samples

BAMSE: Bayesian model selection for tumor phylogeny inference among multiple samples

Abstract Background Intra-tumor heterogeneity is known to contribute to cancer complexity and drug resistance. Understanding the number of distinct subclones and the evolutionary relationships between them is scientifically and clinically very important and still a challenging problem. Results In th...

Full description

Bibliographic Details
Main Authors: Hosein Toosi, Ali Moeini, Iman Hajirasouliha
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Bayesian model selection
DNA sequencing
Tumor phylogeny
Computational cancer genomics
Next generation sequencing
Tumor heterogeneity
Online Access:http://link.springer.com/article/10.1186/s12859-019-2824-3

Internet

http://link.springer.com/article/10.1186/s12859-019-2824-3

Similar Items