Figure 5.

(Left) Number of common features^a highly correlated^b with each matched feature vs penalty scores used in the matching method. The lower the penalty score, the higher the number of common correlated features. (Center) Number of features highly associated (not necessarily common) with each matched feature in target vs reference. (Right) Number of common correlated features vs the minimum number of correlated features (not necessarily common) between the reference or target datasets. All plots are colored by “patternScore” obtained by the ratio common/(minimum +1). ^a Only features surviving removal of poor matches. ^b Spearman correlation >0.7 and ΔRT <0.25 s.