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large dataset
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DEXSeq: How to reduce compute time for estimating dispersions for large datasets.
dexseq
estimatedispersions
large dataset
7.1 years ago
mjrarcher
▴ 10
4
votes
4
replies
4.9k
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Why does DEseq2 take a long time to run on large dataset ?
DEseq2
large dataset
updated 7.3 years ago by
Michael Love
43k • written 7.3 years ago by
mathias.saver
▴ 10
5
votes
4
replies
2.1k
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Eliminating repetitive calls to ExperimentHub
experimenthub
annotationhub
large dataset
7.8 years ago
slinker
▴ 20
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Comment: Which preprocessing steps are needed before running limpa?
by
miro165sabo
• 0
Hi @gordonsmyth, thank you a lot for very fast and valuable response. I edited the question to provide more details.
Answer: Should I use beta1 from limpa::dpc() or limpa::dpcCN(), if they differ?
by
Gordon Smyth
53k
I tend to use dpcCN(), because it more robust than dpc() to experiments with lots of samples and big differences between samples. You coul…
Answer: Which preprocessing steps are needed before running limpa?
by
Gordon Smyth
53k
Please see the example limpa analyses given at <http://github.com/smythlab/limpa>, especially the kidney cancer case study. limpa does not…
Comment: Why does IDTaxa trainingSet for SILVA contain "_2" suffixes in the taxonomy name
by
Korneel
• 0
Thanks for the quick reply! If I understand correctly, I think if I keep track of the full lineage, I shouldn't have any risk of collapsin…
Comment: Pathway abundance data from Curatedmetagenomics
by
yesquokkan
• 0
Hello, I was also wondering about the same issue. Did you figure it out?
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Answer: Which preprocessing steps are needed before running limpa?
Answer: Should I use beta1 from limpa::dpc() or limpa::dpcCN(), if they differ?
Answer: Which preprocessing steps are needed before running limpa?
Answer: Which preprocessing steps are needed before running limpa?
Answer: Should I use beta1 from limpa::dpc() or limpa::dpcCN(), if they differ?
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