Partek Flow Documentation

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  • Select the Feature list data node
  • Select the Visualizations section of the task menu
  • Select Hierarchical clustering from the Visualizations section of the task menu (Figure 1)

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SubtitleTextInvoking Hierarchical clustering
AnchorNameInvoking hierarchical clustering

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The Hierarchical clustering menu will open (Figure 2).

 

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SubtitleTextConfiguring Hierarchical clustering
AnchorNameConfiguring hierarchical clustering

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  • Select Finish to run with default settings

Hierarchical clustering task node will be added to the pipeline (Figure 3).

 

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SubtitleTextHierarchical clustering task node
AnchorNameHierarchical clustering task node

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  • Double-click the Hierarchical clustering task node to launch the heat map

The Dendrogram view will open showing a heat map with the hierarchical clustering results (Figure 4).

 

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SubtitleTextViewing the hierarchical clustering heat map
AnchorNameDendrogram view

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Samples are shown on rows and genes on columns. Clustering for samples and genes is shown through the dendrogram trees. More similar samples/genes are separated by fewer branch points of the dendrogram tree. 

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Samples are now labeled with their Treatment group (Figure 5). 

 

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SubtitleTextSamples labeled with their Treatment group
AnchorNameLabeled samples

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Samples cluster based on treatment group and the 5μM and 10μM groups are more similar to each other than to the 0μM group. 

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  • Select 
  • Choose size and resolution using the Save as SVG dialog (Figure 6)

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SubtitleTextChoosing size and resolution for SVG file
AnchorNameSaving as SVG

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  • Select Save

The heat map will be saved as a .svg file and downloaded in your web browser. 

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