Question: Logit-normal distribution to model variation among biological replicates
gravatar for CY
11 months ago by
United States
CY560 wrote:

I came across rMATS while doing research on differential alternative splicing (AS). It uses logit-normal distibution to model variation among biological replicates. I am having difficulty understanding the logics here.

Can anyone share some insights on how logit-normal distribution can model such variation? It does not have to be AS specific as long as the allow me to understanding the rational here.

ADD COMMENTlink modified 11 months ago by Kevin Blighe70k • written 11 months ago by CY560
gravatar for Kevin Blighe
11 months ago by
Kevin Blighe70k
Republic of Ireland
Kevin Blighe70k wrote:

It says, in the paper:

rMATS uses a binomial distribution to model the read count from the exon inclusion isoform given the exon inclusion level in each individual replicate and a logit-normal distribution to model the variation among replicates within sample group.

This is a big assumption that likely does not hold for all genes, which is a limitation of rMATs. I guess that they mean, that, if you plot the read counts for every exon over every identified isoform, then it would follow a binomial. Exons that are only expressed in rare isoforms would be at either tail of the curve.

ADD COMMENTlink written 11 months ago by Kevin Blighe70k

Thank you for replying. I can understand the binomial distribution part. What confused me is the logic of using logit-normal distribution to model between-replicates variation

ADD REPLYlink written 11 months ago by CY560
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