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Comment: Numerical differences in DESeq2 output depending on different design matrix cons
by
Ken C
•
0
Hi Michael, thanks a lot for your prompt reply!
Not sure if this is appropriate or if you are the right person to ask -- is there anything…
Comment: Numerical differences in DESeq2 output depending on different design matrix cons
by
Ken C
•
0
Well, if I look at genes with baseMean>50, then the relative absolute difference in log2FoldChange (say over the absolute log2FoldChange of…
Comment: all variables in design formula must be columns in colData (Deseq2) error
by
Galina
•
0
Thank you for advice,
you mean I need to add:
countdata_rat <- data.frame(condition = as.factor(METADATA_RAT$treatment))
and total:
dds_…
Answer: all variables in design formula must be columns in colData (Deseq2) error
by
ATpoint
★
4.1k
Your code is poorly readable. Suggest you select and then highlight with markdown using the `10101` button.
Generally, colData(dds) must…
Answer: Subsetting RNAseq data | voomaByGroup()
by
Gordon Smyth
50k
Judging from your MDS plot, cell types 1 and 2 look radically different, so it would make perfect sense to analyse them separately. There's…
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