Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • BFM
    Member
    • Jun 2014
    • 10

    #1

    DESeq Without replicates 4 samples

    Hi i am using DEseq with no replicates

    i have four sample "A-Mock", "A-Infect", "B-Mock", "B-infect" with no replicates.

    > conds <- factor( c( "A-Mock", "A-Infect", "B-Mock", "B-infect" ) )

    i need to compare the diff expression between A-mock and A infect similarly B mock B infected. It doesnt seem to work i am using

    res <- nbinomTest( cds, "A-mock", "A-infect", )
    > res <- nbinomTest( cds, "B-mock", "B-infect", )

    but at the end i am getting only one p value. How to solve this problem. Please help
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    Since you don't have replicates, I wouldn't be surprised if that's the correct results. Any p-value from an unreplicated experiment like that will be questionable at best.

    Comment

    • BFM
      Member
      • Jun 2014
      • 10

      #3
      yes i know that, but what would be a good way to filter the differentially expressed genes between control and treatment then. Should i just go with fold change/? if yes please explain a bit about how i am quite new in NGS. Thank you

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        Have a look at GFOLD, which you might find useful.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
          by SEQadmin2



          CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

          Despite this, “CRISPR helped turn genome editing from a specialized technique into
          ...
          07-31-2026, 11:01 AM
        • SEQadmin2
          Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
          by SEQadmin2


          Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

          The systematic characterization of the human proteome has
          ...
          07-20-2026, 11:48 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 08-11-2026, 10:35 AM
        0 responses
        11 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-06-2026, 07:41 AM
        0 responses
        29 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-03-2026, 10:13 AM
        0 responses
        48 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-31-2026, 02:55 AM
        0 responses
        48 views
        0 reactions
        Last Post SEQadmin2  
        Working...