Sparsity plot and how that indicates a model fit to negative binomial distribution
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tg369 ▴ 40
@tg369-13587
Last seen 9 months ago
United Kingdom

I learn from DESeq2 that sparsity plot can provide insight regarding a data fit to negative binomial. 

Running my RNA seq data (3 controls and 3 tests) in DESeq2 and then generating sparsity plot using

plotSparsity(), I got a graph (https://www.dropbox.com/sh/bj12eelleqzehzx/AAD8MHoNIRhueXTdWyyl_ckqa?dl=0). Please could

you explain me how that graph should look like and advise me if it would be OK to
go ahead with DESEq2 for this data?

I highly appreciate your explanation and very much looking forward to that.  Thanks, Tanay

 

 

 

 

 

deseq2 • 2.0k views
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@mikelove
Last seen 13 hours ago
United States
I forgot, I had the image in my email from previously. This looks fine given the sample size of 3 vs 3. It means that for some genes all of the counts are from one sample but this is concentrated for the low to middle count genes, and the NB can accommodate this with higher dispersion values.
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@mikelove
Last seen 13 hours ago
United States
Sorry I'm away from WiFi and can't access the PDF, I'll take a look as soon as I can. Generally I was using the plot as a diagnostic for when the majority of genes with high counts have most of the row sum coming from individual samples.
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tg369 ▴ 40
@tg369-13587
Last seen 9 months ago
United Kingdom

thank you Michael for this helpful explanation.

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