Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • aoe0618
    Junior Member
    • Oct 2011
    • 1

    #1

    how dose the log2FoldChange is calculated by DESeq2

    hello!
    I did four samples RNA-seq experiment, it made me confused when get into differential expressed gene analysis by R package DESeq2.
    I can't figure out how dose the log2FoldChange is calculated.
    here one example:
    geneID basemeanA basemeanB log2FoldChange
    c46711_g1 1.99888849285605 17999.4664972886 10.406824704617

    not equal to this formula log2(basemeanB/basemeanA) result;
    anyhelp is appreciated!

    Thanks!
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    DESeq2 uses shrunken fold-changes, so you shouldn't expect the reported value to match what you manually calculate. I'll add that it becomes rather difficult to manually calculate things with more complicated designs.

    Comment

    • Michael Love
      Senior Member
      • Jul 2013
      • 333

      #3
      hi aoe0618, check the documentation

      ?DESeq

      or the vignette

      browseVignettes("DESeq2")

      or the manuscript (linked on first page of the vignette)

      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
      20 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...