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## Figure 1.
Relating mutual information based adjacencies to the Pearson correlation and biweight
midcorrelation in simulation. Each point corresponds to a pair of numeric vectors x and y with length m = 1000 . These pairs of vectors were simulated to exhibit different correlations.
AUV1, AUV2, cor, bicor are abbreviations for A^{MI,UniversalVersion1}, A^{MI,UniversalVersion2}, Pearson correlation and biweight midcorrelation, respectively. (A) MI-based adjacency A^{MI,UniversalVersion2 }versus absolute Pearson correlation. Spearman correlation of the two measures and
the corresponding p-value are shown at the top, implying a strong monotonic relationship.
The red line shows the predicted A^{MI,UniversalVersion2 }according to F^{cor−MI}(Eq. 18). Note that the prediction function is highly accurate in simulation. (B) Observed A^{MI,UniversalVersion2 }versus its predicted value. The straight line has slope 1 and intercept 0. (C) Observed Pearson correlation (x-axis) and the corresponding bicor values (y-axis).
The straight line has slope 1 and intercept 0. These 2 measurements are practically
indistinguishable when x and y are normally distributed. (D) A^{MI,UniversalVersion2 }versus bicor. Spearman correlation and p-value of the 2 measurements are presented
at the top, and predicted A^{MI,UniversalVersion2 }are shown as the red line. (E) A^{MI,UniversalVersion2 }versus A^{MI.SymmetricUncertainty}. (F) A^{MI,UniversalVersion2 }versus A^{MI,UniversalVersion1}.
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