Partek Flow Documentation

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Numbered figure captions
SubtitleTextViewing the GSA 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. 

  • Select Click  next to the 5uM vs. 0uM comparison 

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SubtitleTextViewing GSA results with a volcano plot
AnchorNameVolcano plot

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Thresholds for the cutoff lines are set using the text boxes on the left-hand side. The default thresholds are and 0.05

  • Select Gene-specific analysis Click GSA report to return to the task report spreadsheet
  • Select Click FDR step up
  • Select Click the triangle next to FDR step up to open the FDR step up options
  • Select Leave All contrasts selected
  • Set the cutoff value to 0.05

This will include genes that have a FDR step up value of less than or equal to 0.05 for all three contrasts, 5μM vs. 0μM, 10μM vs. 0μM and 5μM:10μM vs. 0μM. FDR step up is the false discovery rate adjusted p-value used by convention in microarray and next generation sequencing data sets in place of unadjusted p-value. 

  • Select Click Fold-change
  • Select Click the triangle next to Fold-change to open the Fold-change options
  • Leave All contrasts selected
  • Set to From -2 to 2 with Exclude range selected

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, 21 29 genes pass the filter (Figure 3).

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SubtitleTextApplying filters to the GSA results spreadsheet
AnchorNameFiltering a gene list

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

This creates a Filtered gene analysis Filter list task node and a Feature list data node (Figure 4).

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SubtitleTextFiltered gene analysis task node and Filter list and a new Feature list data node are added to the pipeline
AnchorNameFeature list data and task nodes

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