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Statistical significance for univariate differences in prevalence was determined using the t statistic derived from the general linear contrast procedure.
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After linear contrast adjustment, the intensity value of each band was estimated.
Linear contrast enhancements were applied to images and videos for clarity.
Only linear contrast enhancements were performed for the final representative images.
The orthogonal contrast procedure is also appropriate for factorial experiments.
We computed a linear contrast score for each probe and used the limma (2004) R package [53] to derive an empirical Bayes adjustment to our single-probe variance estimates and the Benjamini-Hochberg linear step-up procedure to hold the False Discovery Rate (1995) [54] at 0.05.
For presentation, we used linear contrast enhancement on entire images.
Linear contrast and brightness corrections were performed using Adobe Photoshop.
Parameter estimates were used to calculate the appropriate linear contrast.
* P value is calculated using linear contrast statistics.
Where necessary, linear contrast enhancements were applied (Axiovision).
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