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  • Partek Genomics Suite
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        • Import gene expression data
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    • Tutorials
      • Gene Expression Analysis
        • Importing Affymetrix CEL files
        • Adding sample information
        • Exploring gene expression data
        • Identifying differentially expressed genes using ANOVA
        • Creating gene lists from ANOVA results
        • Performing hierarchical clustering
        • Adding gene annotations
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        • Detect differentially expressed genes with ANOVA
        • Removing batch effects
        • Creating a gene list using the Venn Diagram
        • Hierarchical clustering using a gene list
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      • Differential Methylation Analysis
        • Import and normalize methylation data
        • Annotate samples
        • Perform data quality analysis and quality control
        • Detect differentially methylated loci
        • Create a marker list
        • Filter loci with the interactive filter
        • Obtain methylation signatures
        • Visualize methylation at each locus
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        • Optional: Add UCSC CpG island annotations
        • Optional: Use MethylationEPIC for CNV analysis
        • Optional: Import a Partek Project from Genome Studio
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        • Performing pathway enrichment
        • Analyzing pathway enrichment in Partek Genomics Suite
        • Analyzing pathway enrichment in Partek Pathway
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        • Open a zipped project
        • Perform GO enrichment analysis
      • RNA-Seq Analysis
        • Importing aligned reads
        • Adding sample attributes
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        • Detecting differential expression in RNA-Seq data
        • Creating a gene list with advanced options
        • Visualizing mapped reads with Chromosome View
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        • Importing ChIP-Seq data
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      • Survival Analysis
        • Kaplan-Meier Survival Analysis
        • Cox Regression Analysis
      • Model Selection Tool
      • Copy Number Analysis
        • Importing Copy Number Data
        • Exploring the data with PCA
        • Creating Copy Number from Allele Intensities
        • Detecting regions with copy number variation
        • Creating a list of regions
        • Finding genes with copy number variation
        • Optional: Additional options for annotating regions
        • Optional: GC wave correction for Affymetrix CEL files
        • Optional: Integrating copy number with LOH and AsCN
      • Loss of Heterozygosity
      • Allele Specific Copy Number
      • Gene Expression - Aging Study
      • miRNA Expression and Integration with Gene Expression
        • Analyze differentially expressed miRNAs
        • Integrate miRNA and Gene Expression data
      • Promoter Tiling Array
      • Human Exon Array
        • Importing Human Exon Array
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      • Allele Intensity Import
      • Allele-Specific Copy Number
      • Calculating Genotype Likelihoods
      • ChIP-Seq Peak Detection
      • Detect Regions of Significance
      • Genomic Segmentation
      • Loss of Heterozygosity Analysis
      • Motif Discovery Methods
      • Partek Genomics Suite Security
      • Reads in RNA-Seq
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  • Saving a Custom Filter
  • Filter Management Page
  • Additional Assistance

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  1. Partek Flow
  2. User Manual
  3. Settings
  4. Components

Filter Management

PreviousComponentsNextLibrary File Management

Last updated 7 months ago

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The results of differential gene expression analyses (GSA or ANOVA) in Partek Flow can be filtered to extract meaningful results, e.g. statistically significant genes. User-defined filters can be saved and applied to other projects.

This user guide will cover the following topics:

Saving a Custom Filter

On a Feature list task report, specify the criteria to filter the table of statistical results using the Filter dialog (Figure 1) and click the Save filter button.

Name the filter by typing into the Filter name box in the Save filter dialog and click the Save button (Figure 2).

Saved filters will appear in the Saved filters section in the Filter dialog (Figure 3). Saved filters are only available to the Partek Flow user that created them. They will not be available to other administrative or non-administrative users on the same Partek Flow instance.

To apply a saved filter to a table of statistical results, click the filter name in the saved filters section in the Filter dialog. If a filter is applied to a table, the filter name will appear at the top of the Filter dialog.

Filter Management Page

From the action list, select View filter details to show the filter details (Figure 6). To delete a filter, click the Delete filter button (Figure 5)

Additional Assistance

Hovering over the Preview filter () icon in the Filter dialog will show a full description of the filter in a pop-out balloon. Applied filters are displayed at the top of the Filter dialog

To access the Filter management page, click on the gear () icon in the Filter dialog on a Feature list task report (Figure 1, above). Alternatively, click the avatar in the top right corner, choose Settings and click Filters on the left (Figure 4). This page can be accessed by administrative and non-administrative Partek Flow users. The table on the Filters page displays all saved filters created by the Partek Flow user that is currently logged in (Figure 4). Filters created by other Partek Flow users will not be displayed in the table.

Click the icon in the Actions column to show actions available for the filter (Figure 5).

If you need additional assistance, please visit to submit a help ticket or find phone numbers for regional support.

our support page
Saving a Custom Filter
Filter Management Page
Figure 1. Filter dialog showing filtering criteria (false discovery rate (FDR) step up ≤ 0.05 & Fold change <-2 or >2) and indicating no filters have been saved yet. The Save filter button is at the bottom of the dialog. The gear icon opens the Filter management page
Figure 2. Give the filter a name and save
Figure 3. Saved filters are available at the bottom of the Filter dialog
Figure 4. The Filter management page
Figure 5. Actions that can be performed on a filter
Figure 6. View filter detaiils