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Positive clustering effects were more common for contiguous cul-de-sac blocks than for linearly oriented blocks of similar size.
The median Moran I value for the 165 left exit MLO screens was 0.31 (interquartile range (IQR) = 0.26, 0.37), indicating a moderate degree of positive clustering on average.
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The other texture value of positive clusters showed no significant relation with the clinical variables.
Using a skin color term in the face likelihood enhances clustering quality, by improving false positive cluster quality.
The ground-truth clustering is made by hand by classifying all the detections, with a cluster for each people passage, plus a false positive cluster.
The correlation analysis demonstrated there was no any correlation between the texture value of above positive clusters with the clinical variable (Table 3).
This is done to reduce the noise in the positive cluster and also to balance the two clusters1 (in terms of size and number of classes).
We can also see that the prior information based on skin color pixels improves results due to a better estimation of false positive cluster.
Because these large clusters frequently merged, precise quantification of the proportion of β-glactosidse positive clusters was not possible.
Finally, in relation to secretion, a number of positive clusters on chromosome 2 contain T6SS related CDSs.
The SIV antigen positive clusters probably correspond to the infection of a single cell by virus from the inoculum.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com