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. Author manuscript; available in PMC: 2009 Jul 25.
Published in final edited form as: Cell. 2008 Jul 25;134(2):341–352. doi: 10.1016/j.cell.2008.05.042

Figure 2.

Figure 2

Principal component analysis (PCA) of the correlation matrices in Figure 1 reveals a simple structure. A, The percentage of variance in all five variables explained by each of the first three principal components (of five; the remaining two are omitted for clarity). The dotted line indicates 20% of the variance, the cutoff for a component to have any meaningful explanatory value. B, Cluster analysis of the first three principal components reveals a tight cluster which contains the dominant principal components from all organisms and the misfolding-cost simulation (red box), but which excludes the dominant principal component from the no-cost simulation (green box).