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  • bvk
    Member
    • May 2015
    • 65

    #1

    FoldChange calculation for two samples

    Hi all,

    I have two RNA-Seq samples. Detecting differential expressed genes for two samples is not possible. So, I want to calculate fold change for Sample1 vs Sample2.

    Based on that I want to detect differential expressed genes.

    Each sample has the following information.

    tracking_id, class_code, nearest_ref_id, gene_id, gene_short_name, tss_id, locus length, coverage, FPKM, FPKM_conf_lo, FPKM_conf_hi, FPKM_status

    Is there any R package to calculate FC for two smaples?
  • SamCurt
    Member
    • May 2010
    • 40

    #2
    I don't understand what you mean here. While you understand "detecting differential expressed genes for two samples is not possible" without biological replicates, how do you "based on [fold change] ... detect differential expressed genes"?

    With that kind of data the best I can do is FPKM1/FPKM2, and that's it.

    Comment

    • fahmida
      Member
      • Aug 2010
      • 54

      #3
      Agree with SamCurt. You can quantify the expression level of genes for two samples, however, you do not have any statistical power to reliably estimate the differential expression.

      Comment

      • Michael.Ante
        Senior Member
        • Oct 2011
        • 127

        #4
        I also have to agree. You can have a look at GFOLD. It is not calling a test for differential expression but rather computes a "more reliable" fold-change.

        For further experiments I'd suggest to plan the design in order to satisfy the statistical requirements.

        Comment

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