Use Principle Components Analysis (PCA) to reduce dimensions

• Click the Normalized counts data node 
• Expand the Exploratory analysis section of the task menu
• Click PCA 

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From this PCA node, further exploratory tasks can be performed (e.g. t-SNE, UMAP, and Graph-based clustering).

Classify cells based on a marker for expression

• Choose Style under Configure 
• Color by and search for fasn by typing the name
• Select FASN from the drop-down

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• Click FASN in the legend to make it draggable (pale green background) and continue to drag and drop FASN to Add criteria within the Select & Filter Tool
• Hover over the slider to see the distribution of FASN expression

Multiple gene thresholds can be used in this type of classification by performing this step with multiple markers. 

• Drag the slider to select the population of cells expressing high FASN (the cutoff here is 10 or the middle of the distribution). 

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• Open Classify 
• Click Classify selection and name this population of cells "FASN low" 
• Click Apply classifications and give the classification a name "FASN expression"

Now we will be able to use this classification in downstream applications (e.g. differential analysis).

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