Fig. 1From: Salivary miRNA profiles identify children with autism spectrum disorder, correlate with adaptive behavior, and implicate ASD candidate genes involved in neurodevelopmentDifferential expression and diagnostic utility of miRNAs in saliva of ASD children. a Hierarchical cluster analysis of the top 14 miRNAs. These miRNAs were differentially expressed in ASD children compared with Controls. Color indicates average Z-score of normalized abundance for each gene. A Euclidian distance metric was used with average cluster linkages for this figure. b Partial Least Squares Discriminant Analysis (PLS-DA) of the top 14 miRNAs showed the general separation of subjects into two clusters, using only three eigenvector components (x, y, and z axes labeled Component 1, Component 2, and Component 3) that collectively accounted for 55 % of the variance of the data set. c ROC-AUC analysis of the training data set indicated a very high level of performance in the logistic regression classification test (100 % sensitivity, 90 % specificity, with an AUC of 0.97)Back to article page