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Partek Flow Documentation

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Numbered figure captions
SubtitleTextViewing the multi-sample t-SNE plot
AnchorNamemulti-sample t-SNE plot

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  • Search for and select green t-SNE data node (Figure 25)

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Numbered figure captions
SubtitleTextSelect the green multi-sample t-SNE data node to draw the 2D t-SNE plot
AnchorNameSelect multi-sample t-SNE data

  • In the Configuration card, expand the Color card and Style icon, choose Sample name from the Color by drop-down list under Color

Viewing the 2D t-SNE plot, while most cells cluster by sample, there are a few clusters with cells from multiple samples (Figure 26).

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Numbered figure captions
SubtitleTextViewing the multi-sample t-SNE plot in 2D
AnchorNameViewing 2D t-SNE

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Using marker genes, BCAN (glioma), CD14 (microglia), and MAG (oligodendrocytes), we can assess whether these multi-sample clusters belong to our known cell types. 

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  • Switch to lasso mode by clicking the  icon in the top right of the plot
  • Draw the lasso around the cluster of red cells and click the circle to close the lasso (Figure 28)
  • Click Classify Open the Classify tool and click Classify selection
  • Name the classification Microglia
  • Click Save

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  • Switch to pointer mode by clicking  in the top right corner of the plot
  • Deselect the cells by clicking on any blank space on the plot
  • Switch to lasso mode again by clicking the  icon in the top right of the plot
  • Draw the lasso around the cluster of blue cells and click the circle to close the lasso
  • Click Classify Open the Classify tool and click Classify selection
  • Name the classification Oligodendrocytes
  • Click Save

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  • Switch to pointer mode by clicking  in the top right corner of the plot
  • Deselect the cells by clicking on any blank space on the plot
  • Switch to lasso mode again by clicking the  icon in the top right of the plot
  • Draw the lasso around the cluster of green cells and click the circle to close the lasso
  • Click Classify Open the Classify tool and click Classify selection
  • Name the classification Glioma
  • Click Save
  • Switch to pointer mode by clicking  in the top right corner of the plot
  • Deselect the cells by clicking on any blank space on the plot

The number of cells classified as microglia, oligodendrocytes, and glioma are shown in the Classification card on the right Classify (Figure 29)


Numbered figure captions
SubtitleTextThe number of cells for each cell type
AnchorNameNumber of cells per type

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  • Click Apply classifications in the Classification card on the rightClick the Filtered counts data node as input data for the classification task the Classify icon (Figure 30)
  • Click Select


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SubtitleTextchoose input data node for multi-sample classification task
AnchorNamechoose input data node for multi-sample classification task

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  • Name the classification attribute Cell type (multi-sample) (Figure 31)
  • Click Run
  • Click OK on the information box that says a classification task has been enqueued


Numbered figure captions
SubtitleTextName the cell-level attribute
AnchorNameClassification attribute name multi-sample

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A new task, Classify, is added to the Analyses tab. This task produces a new Classify result data node in a green layer (Figure 32).

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