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10.1073/pnas.1922851117 http://scihub22266oqcxt.onion/10.1073/pnas.1922851117 33139566!7682335!33139566     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33139566&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Proc+Natl+Acad+Sci+U+S+A 2020 ; 117 (46): 28876-28886 Nephropedia Template TP {{tp|p=33139566|t=2020. Distance metrics for ranked evolutionary trees |pdf=|usr=}}{{33139566}} gab.com Text Distance metrics for ranked evolutionary trees JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=33139566 #FOAvip Genealogical tree modeling is essential for estimating evolutionary parameters in population genetics and phylogenetics. Recent mathematical results concerning ranked genealogies without leaf labels unlock opportunities in the analysis of evolutionary trees. In particular, comparisons between ranked genealogies facilitate the study of evolutionary processes of different organisms sampled at multiple time periods. We propose metrics on ranked tree shapes and ranked genealogies for lineages isochronously and heterochronously sampled. Our proposed tree metrics make it possible to conduct statistical analyses of ranked tree shapes and timed ranked tree shapes or ranked genealogies. Such analyses allow us to assess differences in tree distributions, quantify estimation uncertainty, and summarize tree distributions. We show the utility of our metrics via simulations and an application in infectious diseases. Twit Text FOAVip Distance metrics for ranked evolutionary trees ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=33139566 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33139566 #FOAvip English Wikipedia <ref>{{Cite pmid|33139566}}</ref> Distance metrics for ranked evolutionary trees #MMPMID33139566 Kim J; Rosenberg NA; Palacios JA Proc Natl Acad Sci U S A 2020[Nov]; 117 (46): 28876-28886 PMID33139566show ga Genealogical tree modeling is essential for estimating evolutionary parameters in population genetics and phylogenetics. Recent mathematical results concerning ranked genealogies without leaf labels unlock opportunities in the analysis of evolutionary trees. In particular, comparisons between ranked genealogies facilitate the study of evolutionary processes of different organisms sampled at multiple time periods. We propose metrics on ranked tree shapes and ranked genealogies for lineages isochronously and heterochronously sampled. Our proposed tree metrics make it possible to conduct statistical analyses of ranked tree shapes and timed ranked tree shapes or ranked genealogies. Such analyses allow us to assess differences in tree distributions, quantify estimation uncertainty, and summarize tree distributions. We show the utility of our metrics via simulations and an application in infectious diseases. |Biological Evolution[MESH] |Computer Simulation[MESH] |Genetics, Population/*methods[MESH] |Models, Genetic[MESH] |Pedigree[MESH] |Phylogeny[MESH]Distance metrics for ranked evolutionary trees (epmc).pdf DeepDyve Pubget Overpricing