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Applying an offset of 0.5 to the compounds predicted with BCF close to the thresholds, the number of false negatives (the most dangerous errors) dropped considerably (less than 0.6% of chemicals).
For RA rates between the thresholds, the number of points scored is calculated linearly using (2).
At all thresholds, the number of correctly and incorrectly assigned individuals was similar when using 20 or more markers.
At higher thresholds, the number of components decreases in both graphs as components are broken up into singletons, which are not included in the component count.
However, for many of these genes the fold changes were small and when we applied additional thresholds the number of genes showing changes dropped rapidly.
For various score thresholds, the number of predicted true positive and false positive interactions were identified and used to plot the Receiver Operating Characteristic (ROC) curve for each score.
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In Table 2 for each of these thresholds the numbers of selected biomarkers, depending on the individual approach, are listed.
The increased numbers of inferred eQTL is also seen with more stringent thresholds; the numbers of eQTL with LOD ≥ 10 are shown in Figure S20.
Reducing this threshold, the number of elements considered as not conform and having similar elements in the source is reduced.
The SRL is also built by scanning the metadata set, with the certain support threshold, the number of entries is the main factor to the efficiency.
By using a threshold the number of false positives is reduced and a binary mask is estimated from the weighted mask according to (9).
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