Fig. 1

Global Transcriptional Profiling of Adult and Pediatric ACP Samples. a MA-plot visualizing transcripts indicating significant (Independent Hypothesis Weighting (IHW) adjusted p-value < 0.1; red) and insignificant genes (black) as determined in differential expression analysis; transcripts enriched relative to pediatric patients are log fold change (LFC) up (> 0) and transcripts enriched relative to adult patients are LFC down (< 0). b Euclidean sample distance matrix without clustering demonstrated the relative heterogeneity across all sample groups from a global transcriptional expression perspective. c-e Clustering paradigms utilized in dataset exploration. c Dendrogram yielded from the DIvisive ANAlysis (DIANA) hierarchical clustering algorithm. d Dendrogram produced by the AGlomerative NESting (AGNES) hierarchical clustering algorithm using complete linkage. e Clustering partitions and group ellipsoids generated by the fuzzy analysis (FANNY) probabilistic k-centroid technique. f-h Silhouette plots depicting mean silhouette width across a range of numbers of clusters. Possible silhouette values are within [− 1,1] where a value of 1 indicates the cluster member is most-closely related to the members within that cluster and dissimilar to those outside of the cluster. As values approach − 1, the opposite is true which indicates the cluster member is an outlier within the cluster. f Silhouette plot generated from the DIANA clustering presented in 1c. g Silhouette plot produced by the AGNES algorithm output presented in 1d. h Silhouette plot yielded by the FANNY algorithm results visualized in 1e