Partek Flow Documentation

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maxLevel2
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excludeAdditional Assistance

Once we have performed GSA DESeq2 to identify differentially expressed genes, we can create a list of significantly differentially expressed genes using cutoff thresholds. 

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The task report spreadsheet will open showing genes on rows and the results of the GSA DESeq2 on columns (Figure 1).


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SubtitleTextViewing the GSA DESeq2 task report spreadsheet
AnchorNameTask report spreadsheet

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To get a sense of what filtering thresholds to set, we can view a volcano plot for a comparison. 

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SubtitleTextViewing GSA DESeq2 results with a volcano plot
AnchorNameVolcano plot

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Thresholds for the cutoff lines are set using the Significance card Statistics card (Configuration panel > Content Configure > SignificanceStatistics). The default thresholds are |2| for the X axis and 0.05 for the Y axis. 

  • Switch to the browser tab showing the GSA DESeq2 report
  • Click FDR step up
  • Click the triangle next to FDR step up to open the FDR step up options
  • Leave All contrasts selected
  • Set the cutoff value to 0.05. Hit Enter.

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Note that the number of genes that pass the filter is listed at the top of the filter menu next to Results: and will update to reflect any changes to the filter. Here, 32 27 genes pass the filter (Figure 3). Depending on your settings, the number may be slightly different.

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SubtitleTextApplying filters to the GSA DESeq2 results spreadsheet
AnchorNameFiltering a gene list

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  • Click  to create a data node with only the genes that pass the filter

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SubtitleTextFilter list and a new Feature list node are added to the pipeline
AnchorNameFeature list data and task nodes

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