highly significantP = 0.004
The differences in correlation with positive and negative scores for MEM and LZP, respectively, were highly significant ( P = 0.004; Fig. 7E ), demonstrating the specificity of these effects.
The differences in correlation with positive and negative scores for MEM and LZP, respectively, were highly significant ( P = 0.004; Fig. 7E ), demonstrating the specificity of these effects.
While the classification of CHR-P was more accurate, and highly statistically significant, for all combinations of features, classification of FEP was overall less accurate for all combinations and only statistically significant for the classifier based on exponent maps (marginally significant for the ones using combinations of parameter maps; Table 1 ).