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. 2015 Aug 20;11(8):e1004165. doi: 10.1371/journal.pcbi.1004165

Fig 5. Principal component analysis (PCA) of variation across the entire data set.

Fig 5

A Pareto plot of the percentage of the variance explained by each principal component (black bars), and the cumulative sum of the explained variance (dark grey line). B Empirical cumulative distribution function in PC space for each class and for principal components one to four. C Contribution of each cellular parameter to the variation of the first four principal components. See main text for an interpretation of these results.