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  • Golsheed
    replied
    Thanks a lot. Your response is extremely helpful.

    Golsheed

    Leave a comment:


  • Michael Love
    replied
    That's a question for the EDASeq devels. DESeq2 can take any normalization matrix.

    Note that, similar to CQN, the covariates (gene length, GC) are provided as vectors to EDASeq, i.e. one per gene, not a matrix of gene lengths.

    Leave a comment:


  • Golsheed
    replied
    Can I correct for both GC content and gene length with EDASeq and then use the output from EDASeq in DESeq2?

    Golsheed

    Leave a comment:


  • Golsheed
    replied
    Thanks for the answer. EDASeq is used for that part of the analysis to correct for GC bias.

    Golsheed

    Leave a comment:


  • Michael Love
    replied
    Are you using CQN? Something to think about is that CQN estimates the GC bias assuming that the genes are the same length across samples. See ?cqn.

    What's the distribution of gene length differences, e.g.:

    summary(log2(L[,1] / L[,2]))

    Leave a comment:


  • correcting for gene-length and GC-content bias in DESeq2

    Hi,
    I was wondering whether DESeq2 has a feature to correct for gene-length and GC-content bias simultaneously?
    I currently am correcting for GC-content bias using the method explained in DESeq2 manual (i.e., the normalizationFactors matrix). But I need to do correction for gene-length, since I'm trying to find differentially expressed genes between three species. Assuming that L_ij is the length of gene i in condition (subgroup) j, how do I incorporate matrix L along with the normalizationFactors matrix into the data set?
    I'd appreciate any help.
    Thanks,
    Golsheed

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