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danalvoronov
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Jitendra
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Answer: Numerical differences in DESeq2 output depending on different design matrix cons
by
Michael Love
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Yes there can be small numerical differences in the estimated quantities because of how the algorithms decide to stop iterating.
Answer: DESeq2- Mysterious interaction suppresses DEGs
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Michael Love
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Removing samples from one group nevertheless changes the variance estimation (dispersion) for all comparisons. So you could have pushed one…
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by
Daniele
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Hi,
I'm using Ensembl Plants release 59 with the IWGSC RefSeq v1.1 gene annotation.
Thanks a lot for replying so quickly!
Comment: Numerical differences in DESeq2 output depending on different design matrix cons
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swbarnes2
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If you restrict yourself to, say, genes with a baseMean > 50, are the numerical differences between the two designs significant?
Comment: DESeq2- Mysterious interaction suppresses DEGs
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shaunpeterson
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The images I tried to attach didn't attach. Here is the PCA (MDS) of all the samples, with the Cortex outlier highlighed.
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