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A proper evaluation of the quality of exposure assignment requires insight in the proportion of the assignment unit time period combinations used for assignment for which no or little exposure measurements were available and exposure levels had to be inferred.
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This shows that a very high proportion of the assignments are almost 100% certain and also in Figure 5 this certainty is mapped by WPC, illustrating that there is little or no spatial clustering in this measure.
Because the total RNA for the transcriptome analysis was extracted from leaves, a large proportion of the assignments fell into the plastids category of the cellular component subontology.
A large proportion of the 1,171 assignments to the Molecular Function category were associated with the Binding (53.92%) and Catalytic Activity (36.37%) categories.
Systematic variability in the proportion of successful assignment across geographical units would pose some doubts about underlying bias.
This was due to either a high proportion of progeny assignment within the stand at confidence levels <80%% (Blue Hill and WD; Table 3) or multiple potential fathers identified within the stand (JHBS and JHBSW; Table 3).
To determine whether our representation of the candidates in the principal components space reflects the structural clusters found by LocARNA for the different k levels, we calculate the proportion of correct assignments, which measures the ratio of cluster members that are closer to their assigned cluster centroid as opposed to a centroid of another cluster.
If learners pose problems randomly, the proportion would be close to the proportion in the assignment setting.
Especially, the proportion of assignments into the first temporal group (prior to 1920) was low (5.4% - 7.9%) among the individuals of the subsequent groups indicating relatively large genetic changes between the first and following time periods.
Despite some variation across the two sites in terms of the relative proportions of each cluster, the assignment of all individuals sampled to each of the three clusters suggests that these populations had a recent shared ancestry.
PASOS is based on a restricted scoring error tolerance approach that allows optimizing the proportion of correct assignments and estimating the proportion of uncollected parents.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com