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  • gene_x
    Senior Member
    • May 2010
    • 108

    multiple testing correction question

    in bioinformatics, you'll probably run into the multiple testing correction problem at some time of the analysis.. I have read several places online, including a nature biotech primer, etc, I can understand the basic knowledge behind it but I still don't know how to use it in my research or real-life work.. my understanding is I can compute P-values and then either Bonferroni adjustment or FDR based q-value or so although i don't know how to do so..

    Do you know of a tutorial type documents that can explain in detail with examples of how this is done?

    Thanks so much!
  • NicoBxl
    not just another member
    • Aug 2010
    • 264

    #2
    In every stat book.
    Here an example : http://udel.edu/~mcdonald/statmultcomp.html

    Comment

    • gene_x
      Senior Member
      • May 2010
      • 108

      #3
      thanks for the reply.. but there is no demo in that link of how to calculate it..

      Comment

      • dariober
        Senior Member
        • May 2010
        • 311

        #4
        Originally posted by gene_x View Post
        thanks for the reply.. but there is no demo in that link of how to calculate it..
        In practice, this can be done in R with p.adjust. Say pvals.txt is a plain text file with a list of pvalues, one per row (that is, a table with one column):
        Code:
        cat pvals.txt 
        0.1
        0.2
        0.3
        0.4
        0.5
        0.6
        0.7
        In R:

        Code:
        pvals<- read.table('pvals.txt') ## Read file with pvalues
        padj<- p.adjust(pvals$V1, method= 'fdr') ## Adjust
        write.table(padj, 'pvals.fdr.txt', row.names= FALSE, col.names= FALSE) ## Write to file the corrected pvalues
        Hope this helps!
        Dario

        Comment

        • gene_x
          Senior Member
          • May 2010
          • 108

          #5
          thanks, i'll take a look at that in R!

          Comment

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