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A multi-labeled tree dissimilarity measure for comparing "clonal trees" of tumor progression
2019
Algorithms for Molecular Biology
We introduce a new dissimilarity measure between a pair of "clonal trees", each representing the progression and mutational heterogeneity of a tumor sample, constructed by the use of single cell or bulk high throughput sequencing data. In a clonal tree, each vertex represents a specific tumor clone, and is labeled with one or more mutations in a way that each mutation is assigned to the oldest clone that harbors it. Given two clonal trees, our multi-labeled tree dissimilarity (MLTD) measure is
doi:10.1186/s13015-019-0152-9
pmid:31372179
pmcid:PMC6661107
fatcat:7ozycr2qpbhfde74n6vdxfc64e