Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • bugbitten
    Junior Member
    • Jun 2015
    • 3

    #1

    Error in microbial count object: Error in hatmatrix/non-conformable arguments

    I imported a phyloseq object to DESEQ2 for obtaining the log2fold change in the number of OTU's per sample. My condition is the disease_stat: cancer, healthy, adenoma

    Following is the code i used:

    phyloseq_to_deseq2(biom_otu_tax, ~disease_stat)
    cts=counts(DESeq2BIOM)
    geoMeans = apply(cts, 1, function(row) if (all(row == 0)) 0 else exp(mean(log(row[row != 0]))))
    DESeq2BIOM = estimateSizeFactors(DESeq2BIOM, geoMeans = geoMeans)
    #It stopped working after this point
    DESeq2BIOM = estimateDispersions(DESeq2BIOM)
    DESeq2BIOMRES = DESeq(DESeq2BIOM,test = "Wald", betaPrior = "FALSE")
    DESeq2BIOMRES = DESeq(DESeq2BIOM,test = "Wald")

    The error I get is Error in t(hatmatrix %*% t(y)) :
    "error in evaluating the argument 'x' in selecting a method for function 't': Error in hatmatrix %*% t(y) : non-conformable arguments"

    I browsed a few other solutions before posting a question: http://seqanswers.com/forums/archive...p/t-46009.html
    They did not address my issue.

    What does this error indicate? Help in troubleshooting much appreciated!
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    I moved this to Bioinformatics where you'll have better luck.

    Comment

    • bugbitten
      Junior Member
      • Jun 2015
      • 3

      #3
      Error in hatmatrix %*% t(y) : non-conformable arguments"

      Thanks for moving it here. New to the community and would appreciate some direction to troubleshoot the issue!

      Comment

      • Michael Love
        Senior Member
        • Jul 2013
        • 333

        #4
        What version of DESeq2 software are you using? Type: sessionInfo(). The latest release is 1.8, so I'd recommend first checking if updating helps.

        Note that DESeq() includes estimateDispersions() as a step, so you can just proceed from your custom size factor calculation to DESeq().

        Comment

        • Gorgon
          Junior Member
          • Feb 2012
          • 2

          #5
          Hello,

          I happen to have a similar problem to what the original poster had:

          > DiffAbund <- DESeq(DiffAbund, test="Wald", fitType="parametric")
          estimating size factors
          estimating dispersions
          gene-wise dispersion estimates
          Error in t(hatmatrix %*% t(y)) :
          error in evaluating the argument 'x' in selecting a method for function 't': Error in hatmatrix %*% t(y) : non-conformable arguments



          The DESeq2 version I'm running is 1.8.2.

          Any suggestions on what might be the problem and how to solve it? I have a bunch of variables in the model, so I guess taking a few out could solve the issue with the matrix operations, but I'm trying to avoid that. Any help would be very mucho appreciated.

          Comment

          • cam687
            Junior Member
            • Dec 2016
            • 2

            #6
            I know this is an old thread, but in my case the error was because I had collapsed technical replicates

            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
            16 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, Yesterday, 10:48 AM
            0 responses
            17 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-15-2026, 10:52 AM
            0 responses
            35 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...