Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • A stats question about DESeq

    It may be a slightly outdated question now that GLM-based testing is preferred to the exact test, but I'm just very curious...

    In the 2010 Genome Biology paper (http://genomebiology.com/2010/11/10/r106), formula 14 describes how in the negative binomial test, variance of condition A is estimated under the null hypothesis of the equality of per-condition means:

    σˆ2_{A} = ∑{all_j∈A} [ s{j}*q0+s{j}ˆ2 * v{A}(q0) ],

    where:
    ∑{all_j∈A} is the sum across all samples in condition A,
    s{j} are scaling factors for each of these samples,
    q0 is the pooled mean estimate,
    v{A} is the raw variance estimate for condition A given the mean.

    However, looking at the DESeq code, I'm not sure v{A} is actually estimated based on q0. Rather, it seems to me it is estimated based on q{A} - the observed mean of counts for condition A.

    Am I getting it wrong or there have been some changes that I'm not aware of?

    Thanks very much!

  • #2
    If I am still read my old code correctly, then the variance-mean relation for condition A is fitted by a local regression of the per-gene variances onto the mean of the counts only from condition A (in the code for the estimateDispersion method, 'if' clause for 'per-condition': bmv$baseMean, where bmv is calculated from only the columns for the current condition), but to get the fitted value, this function is then evaluated for the overall mean (in the code: overall_basemeans). This is consistent with what we wrote in the paper, I think.

    However, in DESeq2, we now dropped the "per-condition" mode, because it was a bit difficult to reconcile with our general improvements to the dispersion estimation.

    Comment


    • #3
      Thanks a lot for your reply Simon!

      Comment


      • #4
        Sorry, one more question... Am I right then that for sharing mode == "maximum" and method == "per-condition", the maximum is computed between the fitted SCV given the overall mean and the observed SCV given the mean for a given condition?

        Many thanks!
        Last edited by a11msp; 10-15-2013, 08:02 AM.

        Comment


        • #5
          Just looked through my code again. Yes, this is what I've put there. The reason, If I remember correctly, had something to do with the handling of zeroes.

          Comment


          • #6
            OK, thanks!

            Comment

            Latest Articles

            Collapse

            • seqadmin
              Understanding Genetic Influence on Infectious Disease
              by seqadmin




              During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.

              Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...
              09-09-2024, 10:59 AM
            • seqadmin
              Addressing Off-Target Effects in CRISPR Technologies
              by seqadmin






              The first FDA-approved CRISPR-based therapy marked the transition of therapeutic gene editing from a dream to reality1. CRISPR technologies have streamlined gene editing, and CRISPR screens have become an important approach for identifying genes involved in disease processes2. This technique introduces targeted mutations across numerous genes, enabling large-scale identification of gene functions, interactions, and pathways3. Identifying the full range...
              08-27-2024, 04:44 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by seqadmin, Today, 06:25 AM
            0 responses
            13 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, Yesterday, 01:02 PM
            0 responses
            12 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 09-18-2024, 06:39 AM
            0 responses
            14 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 09-11-2024, 02:44 PM
            0 responses
            14 views
            0 likes
            Last Post seqadmin  
            Working...
            X