Comparison of MCMC and p(MC 3 ) with and without the neighbour-joining tree initialization step.

A: For low numbers of introductions (5 of the 20 hosts), there is no difference between methods in the posterior log-likelihood distribution. B: Higher numbers of introductions (15 of the 20 hosts), performance of MCMC with a random tree as initialization of the history host is inferior to either p(MC 3 ), neighbour-joining tree initialization of the history host or the combination of both. Moreover, the simulated outbreak has a log-likelihood (the vertical black line) that is higher than the log-likelihood distribution of MCMC with a random tree as initialization. The latter gives the highest... Mehr ...

Verfasser: Bastiaan R. Van der Roest
Martin C. J. Bootsma
Egil A. J. Fischer
Don Klinkenberg
Mirjam E. E. Kretzschmar
Dokumenttyp: Image
Erscheinungsdatum: 2023
Schlagwörter: Medicine / Biotechnology / Evolutionary Biology / Ecology / Cancer / Infectious Diseases / Computational Biology / Biological Sciences not elsewhere classified / Mathematical Sciences not elsewhere classified / Information Systems not elsewhere classified / determine risk factors / aid infection control / multiple phylogenetic clusters / method correctly identifies / bayesian inference method / infectious disease outbreaks / div >< p / dutch mink farms / introduced multiple times / estimate transmission trees / genome sequencing data / infectious disease / genome sequencing / mink farms / transmission trees / multiple introductions / 63 farms / 13 farms / transmission routes / transmission events / single introduction / priori split / phybreak </ / observed cases / new feature / host dynamics / existing models / epidemiological data / complex class / always true / additional feature / accuracy depending
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29034402
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1371/journal.pcbi.1010928.s004

A: For low numbers of introductions (5 of the 20 hosts), there is no difference between methods in the posterior log-likelihood distribution. B: Higher numbers of introductions (15 of the 20 hosts), performance of MCMC with a random tree as initialization of the history host is inferior to either p(MC 3 ), neighbour-joining tree initialization of the history host or the combination of both. Moreover, the simulated outbreak has a log-likelihood (the vertical black line) that is higher than the log-likelihood distribution of MCMC with a random tree as initialization. The latter gives the highest likelihood distribution and is chosen as default option in all analyses. ‘random’ is random tree initialization, ‘nj’ is neighbour-joining tree initialization, ‘2’ is MCMC and ‘3’ is p(MC 3 ). The black lines are the log-likelihood values of the simulated outbreaks. (TIF)