Figure 3.

Principal Component and Clustering Analyses to Circumvent Hallmark Activity Redundancy

(A) Correlation heatmap between all 50 MSigDB hallmark activities on a meta-dataset comprising 28,513 cells from 8 different datasets.

(B) Importance of the 15 Principal Components (PC) for each activity (squared cosine, indicated by increasing circle size and blueness). Below, the proportion of total variance in the dataset explained by each PC.

(C) Relative increase in measure of clustering consensus as the number of clusters is increased. CDF, cumulative distribution function.

(D) Cluster assignment of all 50 activities, for a number of 2–15 clusters.