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An important step in analyzing spatial data is to filter out low-quality cells. A few examples of low-quality cells are doublets, cells damaged during cell isolation, or cells with too few counts to be analyzed. Click here for more information on Single cell QA/QC. We will not perform Single cell QA/QC in this tutorial; this task would be invoked from the Single cell counts node and the subsequent Filter features task from this output node.
Filter Features
- Click the Filtering drop-down in the toolbox
- Click the Filter Features task
- Choose Noise reduction
- Exclude features where value <= 0.0 in at least 99.0% of the cells
- Click Finish
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