Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • crh
    Member
    • Dec 2009
    • 46

    #1

    DESeq - Error: subscript out of bounds

    Hi,

    I'm getting the following error when I try to take a subset from the data for analysis:

    > conds
    [1] "Ag" "Ti" "Qd" "Zn" "Ctrl"
    > head( counts(cds) )
    ag ti qd zn ctrl
    1 29 14 8 15 16
    2 3 2 1 3 2
    3 2 1 1 5 0
    4 3 2 1 5 1
    5 1 1 2 1 1
    6 2 1 1 2 4
    >cds <- estimateSizeFactors( cds )
    > cds2 <- cds[,c("Ag","Ctrl")]
    Error: subscript out of bounds


    Any suggestions?

    Charles
  • NicoBxl
    not just another member
    • Aug 2010
    • 264

    #2
    it's

    cds2 <- count(cds)[,c("Ag","Ctrl")]
    Last edited by NicoBxl; 11-16-2010, 06:44 AM.

    Comment

    • vyellapa
      Member
      • Oct 2011
      • 59

      #3
      Did you find a solution for this? I am getting the same error and am not sure how to fix it:

      > conds
      [1] treated untreated
      Levels: treated untreated
      > cds2 <-cds[,c("treated", "untreated") ]
      Error: subscript out of bounds
      > cds2 <-count(cds)[,c("treated", "untreated") ]
      Error: could not find function "count"
      > cds2 <-counts(cds)[,c("treated", "untreated") ]
      Error: subscript out of bounds

      Comment

      • Simon Anders
        Senior Member
        • Feb 2010
        • 995

        #4
        If you take a asubset from a matrix-like object such as an ExpressionSet or a CountDataSet, using the idiom
        Code:
        cds[,c("a","b","c")]
        , the strings "a", "b", "c" are supposed to be column names (here: sample names), not conditions.

        Comment

        • vyellapa
          Member
          • Oct 2011
          • 59

          #5
          Thank you, that worked!

          Comment

          • AsoBioInfo
            Member
            • Dec 2011
            • 37

            #6
            Originally posted by Simon Anders View Post
            If you take a asubset from a matrix-like object such as an ExpressionSet or a CountDataSet, using the idiom
            Code:
            cds[,c("a","b","c")]
            , the strings "a", "b", "c" are supposed to be column names (here: sample names), not conditions.

            Thank you so much! It worked like a charm.... Keep up the good work!

            Comment

            • sheibani
              Junior Member
              • Jun 2014
              • 6

              #7
              --------------------------------------------
              Last edited by sheibani; 07-29-2015, 02:39 AM.

              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
                ...
                Today, 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
              • SEQadmin2
                Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                by SEQadmin2



                Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                ...
                07-09-2026, 11:10 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, Today, 02:55 AM
              0 responses
              7 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              12 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-23-2026, 11:41 AM
              0 responses
              12 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-20-2026, 11:10 AM
              0 responses
              24 views
              0 reactions
              Last Post SEQadmin2  
              Working...