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We ranked the interactions in each database by SVM or Bayesian score and looked at the minimum confidence (accuracy) corresponding to the strongest n retrieved interactions (Fig. 3).
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Here, minimum confidence value is 0.7.
These algorithms are based primarily on minimum support and the minimum confidence.
Two measures are required: the minimum support and the minimum confidence, Table 6.
To extract the association rules, two measures are required: the minimum support and the minimum confidence.
If the confidence is not less than the minimum confidence threshold, we have a significant sequential rule.
For instance, if the confidence of {1,3,6} ≥ {g} is bigger than the minimum confidence, then we construct this association rule.
Furthermore, the GMAR algorithm prunes a large amount of irrelevant rules based on the minimum confidence.
After obtaining large itemsets, the association rules are generated based on minimum support and minimum confidence value.
Maximum confidence reached 97.42% and minimum confidence decreased to 85.86%.
Matched peptides were further filtered at the precursor ion mass accuracy level using a 20 ppm cut-off, while protein hits were compiled and filtered using the StatQuest program with a minimum confidence threshold of 99%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com