Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • JustinH
    Junior Member
    • Aug 2014
    • 7

    #1

    GAGE Pathview and gene counts

    I am working on pathway analysis using GAGE and Pathview. I can determine up-regulated and down-regulated pathways and get corresponding heatmaps, but I have a question on the "type" of counts I should be using. When I did differential gene expression analysis I generated a DGElist that has pseudo.counts which if I understand correctly are transformed and normalized. I also have a Counts Per Million list that was generated after quality filtering of raw counts. I get similar differentially regulated pathways while using either counts but I do not know which one is more appropriate to use. If anyone can help me I would very much appreciate the help. Thanks!
  • bigmw
    Senior Member
    • Aug 2013
    • 124

    #2
    Both are fine based on your description. GAGE/Pathview expect normalized counts as described in the RNA-seq pathway analysis workflow:


    Counts Per Million looks like normalized by total counts. Gene length factor cancel out here as GAGE use fold change as per gene score.

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
      by SEQadmin2



      Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

      Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
      ...
      10-14-2026, 09:55 AM
    • SEQadmin2
      New Genomics Technologies Take Aim at Long-Standing Limits
      by SEQadmin2


      Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

      We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
      ...
      09-28-2026, 10:25 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 10-15-2026, 10:52 AM
    0 responses
    31 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-14-2026, 05:39 AM
    0 responses
    38 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-13-2026, 09:56 AM
    0 responses
    31 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-09-2026, 11:14 AM
    0 responses
    29 views
    0 reactions
    Last Post SEQadmin2  
    Working...