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## Figure 5.
Percolator's algorithm for normalizing the scores from different cross-validation
sets. The algorithm takes two inputs: a set containing sets of PSMs, and a significance threshold α. Each PSM is represented as a tuple: a score and an accompanying boolean indicating
whether this is a decoy PSM. The function qValue takes as input a set of scored PSMs
and finds the minimal score that achieves the specified significance α, and MedianDecoy returns the median decoy score from the given set. The function
returns a combined collection of normalized scores.
Granholm |