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The most probable character history for each character was affected differently by the prior.
In contrast, the faster evolving character showed different most probable character histories depending on the prior.
The different prior values had a contrasting influence on the identification of the most probable character history.
However, for the pollen unit, different values of E(T) always return different most probable character histories (Tables 2 and 3, Fig. 5).
For fast evolving characters, the levels of homoplasy will always be high and thus many equally most probable character histories will be found.
It is important to stress that this concerns the most probable character history, a result not immediately available when using SIMMAP.
Similar(51)
In their application to hand written recognition, HMMs were utilized by observing lines and curves drawn on a 2D plane and inferring the most probable characters they represent [ 7].
On the other hand, for the pollen unit, different character histories were most probable between the different values of E(T) as well as within the same analysis (several sub-equally probable character histories, Tables 2 and 3).
Thus, the character with high levels of homoplasy (a low ci) had several equally most probable histories, and when the ci of the character was high, a single most probable history was significantly favoured.
The most probable reasons for reduced image quality were noted.
Nevertheless, the shortest ones presumably have the most double-bond character and can be considered the most probable reactive sites for further derivatization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com