Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • sindrle
    Senior Member
    • Aug 2013
    • 266

    #1

    Wired DESeq2 error

    Probably me who has done something wrong, but I dont see what.

    First run was fine, but when I ran it again some days later I get this error.

    > sampleFiles <- list.files(path="/Volumes/timemachine/HTseq_DEseq2",pattern="*.txt")
    > sampleFiles <- sort(sampleFiles,decreasing=TRUE)
    > status <- factor(c(rep("Healthy",26), rep("Diabetic",22)), levels=c("Healthy", "Diabetic"))
    > timepoints = as.factor(c(2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1))
    > patients <- factor(c(88,87,86,83,82,81,75,72,71,70,13,08,01,88,87,86,83,82,81,75,72,71,70,13,08,01,79,77,76,73,67,62,61,55,53,21,04,79,77,76,73,67,62,61,55,53,21,04))
    > sampleTable <- data.frame(sampleName = sampleFiles, fileName = sampleFiles, status=status, timepoints=timepoints, patients=patients)
    > directory <- c("/Volumes/timemachine/HTseq_DEseq2/")
    > design <- formula(~patients + timepoints*status)
    > ddsHTSeq <- DESeqDataSetFromHTSeqCount(sampleTable = sampleTable, directory = directory, design = design)

    Error in validObject(.Object) :
    invalid class "DESeqDataSet" object: the model matrix is not full rank, i.e. one or more variables in the design formula are linear combinations of the others
  • sindrle
    Senior Member
    • Aug 2013
    • 266

    #2
    The error appears when:

    timepoints = as.factor(c(1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2));

    is changed to:

    timepoints = as.factor(c(2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1))

    Comment

    • sindrle
      Senior Member
      • Aug 2013
      • 266

      #3
      I changed to:

      timepoints = factor(c("After","After","After","After","After","After","After","After","After","After","After","After","After","Before","Before","Before","Before","Before","Before","Before","Before","Before","Before","Before","Before","Before","After","After","After","After","After","After","After","After","After","After","After","Before","Before","Before","Before","Before","Before","Before","Before","Before","Before","Before"), levels=c("Before","After"));

      But when I change:

      patients <-
      as.factor(c(04,21,53,55,61,62,67,73,76,77,79,04,21,53,55,61,62,67,73,76,77,79, 01,08,13,70,71,72,75,81,82,83,86,87,88,01,08,13,70,71,72,75,81,82,83,86,87,88));

      To:

      patients <-
      as.factor(c(88,87,86,83,82,81,75,72,71,70,13,08,01,88,87,86,83,82,81,75,72,71,70,13,08,01,79,77,76,73,67,62,61,55,53,21,04,79,77,76,73,67,62,61,55,53,21,04));

      The error occurs again...

      I really cant grasp this..

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        This ends up being the same issue that you posted on the bioconductor email list, but there with edgeR (the solution is the same).

        Comment

        • sindrle
          Senior Member
          • Aug 2013
          • 266

          #5
          Yes, Im sorry for that..

          But I rally can't understand why:

          timepoints = as.factor(c(1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2));

          Changed to:

          timepoints = as.factor(c(1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2));

          Suddenly gives the error...

          Comment

          • sindrle
            Senior Member
            • Aug 2013
            • 266

            #6
            Sorry for spamming my own thread.. But now it worked again!

            Its indeed wired.

            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, 10-22-2026, 11:13 AM
            0 responses
            27 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-22-2026, 10:48 AM
            0 responses
            20 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-15-2026, 10:52 AM
            0 responses
            38 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-14-2026, 05:39 AM
            0 responses
            44 views
            0 reactions
            Last Post SEQadmin2  
            Working...