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• W1753705553 abstract "New representations of tree-structured data objects, using ideas from topological data analysis, enable improved statistical analyses of a population of brain artery trees. A number of representations of each data tree arise from persistence diagrams that quantify branching and looping of vessels at multiple scales. Novel approaches to the statistical analysis, through various summaries of the persistence diagrams, lead to heightened correlations with covariates such as age and sex, relative to earlier analyses of this data set. The correlation with age continues to be significant even after controlling for correlations from earlier significant summaries." @default.
• W1753705553 created "2016-06-24" @default.
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• W1753705553 date "2016-03-01" @default.
• W1753705553 modified "2023-10-18" @default.
• W1753705553 title "Persistent homology analysis of brain artery trees" @default.
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• W1753705553 doi "https://doi.org/10.1214/15-aoas886" @default.
• W1753705553 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5026243" @default.
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