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This classification method assigns each new sample to the group with the highest posterior probability.
The sample was then assigned to the group with the highest posterior probability [50].
The new compound is assigned to the class with the highest posterior probability value.
We defined the imputed genotype as the one that had the highest posterior probability.
The model with the overall highest posterior probability was WAG [60] for MMPs, TIMPs, and RECKs.
For the slower evolving character, the same character history always had the highest posterior probability independent of the priors used.
Figure 1 shows the best ML tree found under the substitution model with highest posterior probability (JTT+G).
As IMPUTE outputs posterior probability of each potential genotype, to facilitate the comparison, the imputed genotype was defined as the one that had the highest posterior probability.
Five independent Markov chains were run, each with a different seed, and we systematically chose the phase reconstruction with the highest posterior probability.
After multiple runs on each K assumed, the value that generated the highest posterior probability was used as the number of possible populations.
Modal class allocations were generated by Latent Gold based on the highest posterior probability rule.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com