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Classification in Partek Flow can be performed manually or with automatic cell classification which is explained in more detail here: Classification - Partek® Documentation. Users often want to classify cells by a gene expression threshold, for details on classification by marker expression click here. Automatic classification needs to be performed on a non-normalized single cell data node; once complete, publish cell attributes to project then use this classification to configure the umap, pca, t-sne, and others. You may choose to perform Graph-based clustering and K-means clustering to help identify biomarkers that can then be used to identify the clusters by manual classification and we also provide hosted lists for different cell types. 

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