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By including Batch in the ANOVA model, the variability due to the batch effect is accounted for when calculating p-values for the non-random factors. In effect, the batch effect has already been removed. However, visualizing biological effects using tools like PCA and clustering can be very difficult if batch effects are present. We can modify the original intensity data to remove the batch effect using the Remove Batch Effect tool.

The Remove Batch Effect tool functions much like ANOVA in reverse, calculating the variation attributed to the effect being removed then adjusting the original intensity values to remove the effect. Once the effect has been removed, tools like PCA or clustering can be used to visualize what the data would look like if the batch effect was not present.

Select the1 (Breast_Cancer.txt) spreadsheet
Select Stat from the main tool bar
Select Remove Batch Effect... (Figure 1)

Genomics Suite Documentation > Removing batch effects > 2017-08-29 12_48_38-Partek Genomics Suite - 1 (Breast_Cancer.txt).png

The Remove Batch Effects dialog will open. The tool functions by performing an ANOVA then modifying the original intensities values to remove the effects of the specified factor(s).

Select Treatment, Time, and Batch
Select Add Factor > to add them to the ANOVA Factor(s) panel
Select Batch in the ANOVA Factor(s) panel
Select Add Factor > to add Batch to the Remove Effect(s) of These Factor(s) panel

By default, the results will be displayed in a new spreadsheet. Options to overwrite the current spreadsheet and specify the output file appear in the bottom of the dialog (Figure 2).

Genomics Suite Documentation > Removing batch effects > 2017-08-29 13_01_32-Remove Batch Effects.png

Select OK

The new spreadsheet, 1-removeresult (batch-remove) will open in the Analysis tab (Figure 3).

Genomics Suite Documentation > Removing batch effects > 2017-08-29 13_03_55-Partek Genomics Suite - 1-removeresult (batch-remove).png

We can visualize the effects of removing the batch effects by plotting a PCA scatter plot.

Select () plot the PCA scatter plot
Select ()
Set Drawing Mode to Mixed
Select the Ellipsoids tab
Select Add Centroid
Add Batch to the Grouping Variable(s) panel
Set the colors of the two centroids as shown (Figure 4) to pink and yellow

Genomics Suite Documentation > Removing batch effects > 2017-08-29 13_14_50-Edit Centroid.png

Select OK to close the Add Centroid...
Select OK to close the Configure Plot Properties dialog

The centroids of the two batches overlap, showing that the batch effect has been removed (Figure 5).

Genomics Suite Documentation > Removing batch effects > 2017-08-29 13_22_22-Partek Genomics Suite - 1-removeresult (batch-remove).png