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No patterns were observed when we compared this variable through the representation of sensitivity versus the fraction of false-positives.
The next step is the representation of sensitivity against 1-specificity from each study in a ROC space to explore the threshold effect.
Filter OFF Add 1/2 only zero cell studies The next step is the representation of sensitivity against 1-specificity from each study in a ROC space (figure 6), which can be used for exploration for threshold effect.
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The results are summarized in Tables 5, 6, 7, and 8 and the graphical representation of the sensitivity analysis is shown in Figs. 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, and 16.
The ROC curve is a graphical representation of the sensitivity and 1-specificity values of all possible cut-off values of a continuous diagnostic variable [ 30].
The c-statistic is a measure of the area under the receiver-operator characteristic (ROC) curve, which is a graphical representation of the sensitivity and specificity of outcome classification for all possible values of the predictor variable [ 20].
TCs are stationary representations of neurons' sensitivity in the intensity-frequency domain derived from accumulating simple responses based on PSTHs (Fig. 3A).
It is important to note that the G/UV ratios obtained in our sample of cones after rod-saturating pre-flashes do not provide a completely unbiased representation of the relative sensitivity to G over UV light within the native cone population.
There is also a lack of representation and sensitivity to the needs of diverse groups.
Overall, these different modes of representation increase the sensitivity of the research in order to define a set of either mRNA or miRNAs associated with the selected experiment.
ROC curve is a graphic representation of the relationship between sensitivity and specificity for a diagnostic test.
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