Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • wilson90
    Member
    • May 2012
    • 48

    #1

    Determine Top 100 Differentially Expressed Genes

    Dear all,

    I am wondering if we decide the top 100 differentially expressed genes based on:
    A) Log Fold Change or
    B) P-value
    C) Or a combination them? (In the case, order matters? (logFC first, p-value?)

    Thank you.

    Best Regards,
    Wilson
  • sisch
    Member
    • Jun 2011
    • 29

    #2
    I'm not sure that it makes sense to look only at the top hundred of differentially expressed genes from a statistical point of view. Either they are significantly different or not.
    However, if you want to sort your data a bit, I would suggest the following:

    1. Determine differential expression by statistics (whatever test you see fit)
    2. From the set of significantly differing genes, sort by fold-change (or log-fold-change)

    This way you get a list that has on top the most differing (in terms of expression) genes that are confirmed to be differential by statistics.

    Still, looking only at a subset of results that came out of a statistical test as significant feels wrong.

    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, Yesterday, 11:13 AM
    0 responses
    21 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, Yesterday, 10:48 AM
    0 responses
    18 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-15-2026, 10:52 AM
    0 responses
    36 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-14-2026, 05:39 AM
    0 responses
    42 views
    0 reactions
    Last Post SEQadmin2  
    Working...