DeSeq on single cell data way too slow
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ti243 • 0
@ti243-9668
Last seen 9.1 years ago

Hi All,

I have a 600 single cell RNA-seq samples. And I would like to do DeSeq between 300 vs 300. 

When I use the standard code, it runs for hours. And doesn't finish. 

I have tried specifying 4 course but it still runs very long! EdgeR or DeSeq1 in comparison runs in a minute. 

When it estimates gene-wise dispersions it becomes very slow. 

Any ideas how I can make it faster for large datasets (>500)?

Thanks,

Tomi

deseq2 • 1.1k views
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@mikelove
Last seen 7 days ago
United States

DESeq2 with many samples

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Additionally, I doubt that the negative binomial statistical model makes sense for single cell data. There have been a flurry of papers recently showing that new statistical models are necessary to model the abundance of zeros for example.

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