Fitting Distribution Of The Gene Expression Levels Of Rna Seq Data

I am trying to fit a distribution of the gene expression (DESeq Normalized counts) of each sample from a RNA Seq data. And I came across this paper where they describe that the expression levels of genes have a Bimodal distribution. .

I was wondering would this be true for the count data as well or do we expect any specific distribution for Counts that will have a change of skew that may arise due to the length factor that comes in RPKM?

Can some one help me here on how to test this for count data?

Thanks

• 5,811 views • link

written 12.5 years ago by k.nirmalraman

This post in ResearchGate might be helpful

• 198 views • link

written 12.5 years ago by Sudeep

1 answer

Many groups model the raw counts in RNA-seq data as a negative binomial.

• 42 views • link

written 12.5 years ago by Sean Davis

I thought this applies for the distribution of say Gene-i across samples. I understood it that way from the DE Seq Paper

Equation 1:

http://www.w3.org/1998/Math/MathML " name="gb-2010-11-10-r106-i1"> K_{i j} ~ NB (μ_{i j}, σ_{i j}^{2}),

• 222 views • link

written 12.5 years ago by k.nirmalraman

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