Fig. A1. Distributions of Pearson's correlation coefficient r (left) between behavioral and neural thresholds of amplitude modulation detection and their respective p-values (right) based on binary (top) and exponential (bottom) weighting functions for the morphology weighting. Distributions were based...
We analyzed how different parameters affect the results of this analysis. We focus on two parameters (Fig.5), the Pearson Correlation Coefficient (PCC) threshold that was used to convert co-expression data to networks and the coupling constant κ (kappa) that was used in OrthoClust analysis. ...
The results showed that when M1 was used, R1 (the degree of the node) was the best-performing metric (with average rank correlation of 0.825). By contrast, when M2 was used, R2 (the sum adjacent nodes' node sizes) was the best- performing metric (with average rank correlation of 0.855...