Weighted Centroid Trees: A general approach for summarizing phylogenies in tumor mutation tree inference
Hamed Vasei,
Mohammad Hadi Foroughmand Araabi,
Amir Daneshgar
Abstract:Tumor mutation trees are the primary tools to model the evolution of cancer. Not only some tumor phylogeny inference methods may produce a set of trees having potential and parallel evolutionary histories, but also mutation trees from different patients may also exhibit similar evolutionary processes. When a set of correlated mutation trees is available, compressing the data into a single best-fit tree, exhibiting the shared evolutionary processes, is definitely of great importance and can be beneficial in man… Show more
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