Now that we have clustered our data we can start identifying cell populations present in our tissue. Using the results of our dimension reduction analysis, we will look at the clustering results on the UMAP and the spatial map:

• Double click the Spatial report node. This will automatically open a new Data viewer session and plot the spatial map with the high resolution image in the background.
• Click on New plot > 3D Scatter plot and select the UMAP node.

Add the biomarkers table from the graph-based clustering task.

• Click on New plot > Table and select the Biomarkers table generated after the Graph-based clustering task

Change the color style to the graph-based clusters. 

• Click anywhere on the Spatial plot, then click Style, click on the node selector next to the Color by drop-down, select the Graph-based clustering node
• Select 'Graph based' from the drop-down options

Copy these settings on the UMAP.

• Click on the legend title, drag and drop it on the color option on the UMAP plot:

Now that we have plotted the clustering results we can start exploring them. We have identified markers for 13 clusters, with apparent spatial separation. The sample is human front cortex, thus we can expect our clusters to represent some of the major cell types found in the tissue (e.g. astrocytes, microglia, oligodendrocytes etc). Looking at the markers for Cluster 4, we can see there are a few known astrocyte markers: AQP4, AGT, FGFR3.

• Drag and drop each one of the 3 genes from the biomarkers table onto of the 'Green, Red, Blue' features of the spatial plot to visualize the in-situ expression:

Zoom in to better observe the cell-level expression patterns. 

• Use the mouse wheel control to zoom in and out on the image

• Let's classify the cells from cluster 4 as astrocytes:
  • Click Select & Filter > Criteria, drag the Graph-based attribute on the Add criteria box and select only Cluster 4.
  • Click Classify > Classify selection. Type 'Astrocytes' and Save. 
  • Click Apply classifications, type 'Cell type' in the box and click Run.

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