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• W2024407013 abstract "Phylogenetic trees are commonly used to describe the evolutionary history of a group of species, but may also be used to study an evolving virus such as HIV. These trees are highdimensional, non-real-valued data objects, with a specific pattern of built-in dependencies that violate the assumptions of many traditional statistical methodologies. We have found that these problems can often be overcome by defining (i) an appropriate measure of correlation applicable to phylogenetic trees (ii) an appropriate distance metric on trees, and (iii) an appropriate way to describe the probability distribution of phylogenetic trees. This paper describes these statistical tools and applies them to a variety of HIV-related examples of phylogenetic tree data." @default.
• W2024407013 created "2016-06-24" @default.
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• W2024407013 date "2000-07-01" @default.
• W2024407013 modified "2023-10-01" @default.
• W2024407013 title "Some statistical methods for phylogenetic trees with application to HIV disease" @default.
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• W2024407013 doi "https://doi.org/10.1016/s0895-7177(00)00120-5" @default.
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