Fig. 5.
A high-level schematic of the experimental setup for the two application datasets. For (A) HIV-1 spVL in the Swiss HIV Cohort Study, data are paired viral and human genotypes and associated spVL measurements. We fit the POUMM to the viral phylogeny and spVL values associated with each infected individual (z1,z2,…,z1493). For (B) A. thaliana–X. arboricola quantitative disease resistance (QDR) from Wang et al. (2018), data are bacterial and plant genotypes with QDR measurements for all possible combinations of pathogen and host plant strains. We fit the POUMM to the bacterial phylogeny and mean QDR calculated for each pathogen strain across all the hosts plant types (z¯1,z¯2,…,z¯22).

A high-level schematic of the experimental setup for the two application datasets. For (A) HIV-1 spVL in the Swiss HIV Cohort Study, data are paired viral and human genotypes and associated spVL measurements. We fit the POUMM to the viral phylogeny and spVL values associated with each infected individual (z1,z2,,z1493). For (B) A. thalianaX. arboricola quantitative disease resistance (QDR) from Wang et al. (2018), data are bacterial and plant genotypes with QDR measurements for all possible combinations of pathogen and host plant strains. We fit the POUMM to the bacterial phylogeny and mean QDR calculated for each pathogen strain across all the hosts plant types (z¯1,z¯2,,z¯22).

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