Fig. 4: Principal component analysis (PCA) of metabolomic data. | npj Biological Timing and Sleep

Fig. 4: Principal component analysis (PCA) of metabolomic data.

From: The circadian clock of Populus affects physiological, transcriptional and metabolomic responses to osmotic and ionic components of salt stress

Fig. 4: Principal component analysis (PCA) of metabolomic data.

A PCA plot showing the distribution of samples along PC1 and PC2. Each point represents an individual sample; colours indicate treatments; shapes indicate genotypes. Ellipses represent the dispersion of data within treatments. The percentage of variance explained by each principal component is shown on the corresponding axis. B PCA plot showing the distribution of samples along PC1 and PC3; colour and shape coding are as in (A). The ellipses represent 95% confidence intervals for each treatment group and show the distribution of samples in the PCA space, indicating the region in which 95% of samples from each treatment were predicted to be placed. The percentage of variance explained by each principal component is shown on the corresponding axis.

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