the The principal components analysis (PCA) scatter plot allows us to visualize similarities and differences between the samples in a data set. 

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The PCA task node will be added to the pipeline (Figure 1)

• Double click the PCA task node PCA data node to open the PCA scatter plot (Figure 2)
  
  

In the Data Viewer, click Style under Configure and set the Color by drop-down to 5-AZA Dose. The scatter plot shows each sample as a point sphere, colored by treatment group, 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.

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

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