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Biomarkers for each cluster are calculated using an ANVOA test where each cluster is compared to the other cells in the data set, genes with fold-change > 1.5 are included, and these genes are sorted by ascending p-value (ties broken by greater fold change). The top 10 genes for each cluster are shown in the table. The full gene list can be obtained as a text file by selecting the Download link. The full ANOVA results can be obtained by clicking the Run ANOVA button, which will generate a Feature list data node.  Open the node to perform filtering based on p-value and/or fold-change or to invoke a volcano plot.

The Clustering result data node includes the input values for each gene and adds cluster assignment as a new attribute, K-means, for each observation. If the Clustering result data node is visualized by Scatter plot, PCA, t-SNE, or UMAP, the plot will be colored by the K-means attribute and the group biomarker table, if generated, will be included below the plot (Figure 3).

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