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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac849
Abstract: Summary Phylodynamic methods are central to studies of the geographic and demographic history of disease outbreaks. Inference under discrete-geographic phylodynamic models—which involve many parameters that must be inferred from minimal information—is inherently sensitive to our…
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Keywords:
improving phylodynamic;
prioritree utility;
discrete geographic;
phylodynamic analyses ... See more keywords