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Recent Replies
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This statement makes zero sense in response to what I wrote.
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I focused on the fact that DESeq2 models overdispersion, but overlooked its implicit assumption: normalisation works when the main source o…
Comment: DESeq2 on metagenome KO counts
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Thank you very much. I mistakenly drew a superficial analogy. I equated KO counters with gene counters.
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Both vst or logcpm will favor expression level (magnitude of counts) rather than differences in a hclust/heatmap. For differences you need …
Comment: DESeq2 on metagenome KO counts
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The DESeq2 developer has advised many times against DESeq2 for metagenomics. Please search for related posts over at support.bioconductor.o…
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I wouldn’t use DESeq2 on aggregated raw counts per KO, because doing so means accepting two pretty big assumptions:
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(I apologise for my previous reply; I wanted to be as detailed as possible)
DESeq2 handles KO counts perfectly well. For a time-series des…
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I apologise for how that sounded; I wanted to be as detailed as possible.
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A comment on: "*Wonky analysis is possible even with open-source R libraries.*"
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