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Comment: How to use limma to analyze complex temporal RNAseq data
by
Jiahao Tian
• 0
Thank you so much! I would compare every two groups separately.
Comment: emptyDrops new default alpha = Inf giving far fewer non-empty droplets than unde
by
Peter Hickey
▴ 760
Ah, I'd forgotten about how the knee comes into the calculation. Your proposal does do a better job at finding the knee and the subsequent…
Comment: DEP R-package run_app ("TMT") spits this error: "Error: 'imputeMethods' is not a
by
Shajahan
• 0
Thank you very much James. I corrected the code as you suggested and it fixed the eror. Shajahan
Answer: emptyDrops new default alpha = Inf giving far fewer non-empty droplets than unde
by
Aaron Lun
★ 29k
I suspect the real problem is that the knee point is not being identified correctly in your plot. Visually, I would put the knee point some…
Comment: How to use limma to analyze complex temporal RNAseq data
by
Jinming Cheng
• 0
Hi Jiahao, Thanks for more details about your analysis! For my design (`~ 0 + group + time`), confounding factors or interactions were not…
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Answer: Limpa Pipeline Order
Answer: Limpa Pipeline Order
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: makeChipPackage(): Error in data.frame(..., check.names = FALSE) : arguments
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