EduEyras
commented
4 years ago Hi,
In the empirical models, the p-value reflects the significance of the deltaPSI change in the context of the observed biological variability.
If you make a volcano plot (x axis = deltaPSI, y axis = -log10(p-value) ), this will help you see what reasonable cutoffs you could use with your data.
In this context, you may find low deltaPSI values with low p-values, which are common in highly expressed genes
A common choice is to use a p-value < 0.05, and |deltaPSI| >0.1
E
On Tue, 3 Nov 2020 at 01:49, CS791 notifications@github.com wrote:
Hi!
What p-value in the output of diffSplice function considers as significant? In my files mostly p-values are 1. On what basis I should consider an event as a differential splicing event, deltaPSI, or p-value?
Thank you! Best regards
CS
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CS791
Hi!
What p-value in the output of diffSplice function considers as significant? In my files mostly p-values are 1. On what basis I should consider an event as a differential splicing event, deltaPSI, or p-value?
Thank you! Best regards
CS