Fig. 2.

Principal component analysis with pearson correlation. Each sphere represents a patient-derived PDE sample whose location in “proteome space” is determined by protein expression variability of 625 differentially expressed proteins. Each axis represents a principal coordinate that captures a component of the variance in protein expression. PDE samples segregated based on drug exposure.