Fig. 1

Unsupervised analysis of all proteins in the dataset. a, b Principal component analysis (PCA) shows the sample distribution along PC1 and PC2, which together account for ~35% of the total variance among samples. Left: Samples are colored by tissues. Right: Samples are colored by Hit-Time groups. c, d Unsupervised Machine learning using t-SNE algorithm