Figure 2. Clusters of samples based on machine learning algorithm.

Samples were distributed on the basis of their transcriptional profiles into consensus clusters using sNMF.

A. Consensus matrix from consensus clustering results (center matrix plot). The consensus matrix is a visual representation of the clustering results and the separation of the sample clusters from each other. Blue indicates no consensus, and red very high consensus. The numbers (1-12) on the diagonal row of clusters indicate the number assigned to the cluster by sNMF. These numbers (“Cluster 1” …“Cluster 12”) are used throughout the text to indicate the group of samples in that cluster. The bar graph above the consensus matrix plot shows the summary statistics assessing the overall quality of each cluster. The cluster consensus value (0-1) is plotted above the corresponding cluster in the matrix plot. Note that most clusters (Clusters 10, 12, 6, 4, 9, 1, 8, 11, 7, 2) have a high quality measurement. To the left of the consensus matrix is another view of the consensus data, visualized as a dendrogram. This is a representation of the hierarchical clustering tree of the consensus matrix

B. The content of the sample clusters resulting from the same sNMF run are displayed. Numbers are the same cluster numbers assigned by the consensus clustering algorithm that are used throughout the text and figures. For more information on samples and Source Code and references see Supplementary Tables 1 – 10.

# Number of samples,

¶ Samples were derived from adult brain specimens