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The scatter plot shows each sample as a point in a three dimensional plot. The x, y, and z axes are the first three principal components. The percentage of total variance explained by each is listed next to the axis label. The size of each axis is determined by the variance along that axis. The plot is fully interactive; it can be rotated and points selected.

Here, we can see that samples separate based on treatment, but there is noticeable separation within treatment groups, particularly the 0μM and 10μM treatment groups. 

For more detailed information about the PCA scatter plot, please see the Principal Components Analysis user guide.