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Principal Components Analysis (PCA) is an excellent method to visualize similarities and differences between the samples in a data set. PCA can be invoked through a workflow, by selecting () from the main command bar, or by selecting Scatter Plot from the View section of the main toolbar. We will use a workflow.
- Select Gene Expression from Select Gene Expression from the Workflows drop-down menu
- Select PCA Scatter Plot from the QA/QC section of the Gene Expression workflow
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Two ways Ways to address the batch effect in the data set will be detailed later in this tutorial.
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