phyC: Clustering cancer evolutionary trees

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phyC: Clustering cancer evolutionary trees

Multi-regional sequencing provides new opportunities to investigate genetic heterogeneity within or between common tumors from an evolutionary perspective. Several state-of-the-art methods have been proposed for reconstructing cancer evolutionary trees based on multi-regional sequencing data to develop models of cancer evolution. However, there have been few studies on comparisons of a set of c...

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ژورنال

عنوان ژورنال: PLOS Computational Biology

سال: 2017

ISSN: 1553-7358

DOI: 10.1371/journal.pcbi.1005509