Ontology highlight
ABSTRACT:
SUBMITTER: Matsui Y
PROVIDER: S-EPMC5432190 | biostudies-literature | 2017 May
REPOSITORIES: biostudies-literature
Matsui Yusuke Y Niida Atsushi A Uchi Ryutaro R Mimori Koshi K Miyano Satoru S Shimamura Teppei T
PLoS computational biology 20170501 5
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 cancer evolutionary trees. We propose a clustering method (phyC) for cancer evolutionary trees, in which ...[more]