Fig. 2From: Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposuresPrincipal component analysis can be used to distinguish antibody repertoires. a. PCA was applied to features of V-J gene use frequency for three healthy donors (HIP1–3). Artificial replicates were generated by subsampling each repertoire to a common depth, repeated 10 times per repertoire. X and Y axes show principal components 1 and 2, and the percent variation explained by each component is shown in parenthesis. b. PCA was applied to gene use frequencies from three healthy donors (HIP1–3) and five HIV-infected donors after influenza vaccination (HIV/Flu1–5). Black circles show results of K-means clustering with k = 2 clustersBack to article page