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Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response and apologies for my late reply. I think I´m starting getting the concept now. The hints with the cqn is quite …
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response and apologies for my late reply. It`s a relieve that lengthScaledTPM and counts with offset both seem to perform…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response (and to the other responders as well) and apologies for my late reply. Especially the reference to Soneson is ve…
Comment: DESeq2, results(dds, name = <reference>) interpretation results
by
Rockbar
• 0
Hello James, Thank you for answering > testing that the mean expression of the time 2, condition A samples is > different from zero I ha…
Comment: DeSeq2 design fails (full model matrix is less than full rank)
by
James W. MacDonald
63k
Both ATpoint and Basti have already told you that you cannot adjust for DMSO.
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Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Remove duplicates of colData in TreeSummarizedExperiment
Answer: Remove duplicates of colData in TreeSummarizedExperiment
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