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Explaining DAVID's 0.1 EASE Score

TLDR, see bold question below

In regards to DAVID's EASE score, I am confused about the default setting 0.1. In the 2008 Nature Protocol about DAVID it says:

The smaller the P-values, the more significant they are Default cutoff is 0.1 Users could set different levels of cutoff through option panel on the top of result page. Owing to the complexity of biological data mining of this type, P-values are suggested to be treated as score systems, i.e., suggesting roles rather than decision-making roles. Users themselves should play critical roles in judging ‘are the results making sense or not for expected biology’

I've been playing around with the threshold, between 0.1 and 0.05 (I chose this as it is the well-used significant cut-off for a two-tailed Fisher Exact test). EASE however, is a modified one-tailed Fisher therefore, I am wondering does my threshold make sense? I am getting biologically meaningful data from 0.05 but even more with 0.1.

In brief, can someone please explain DAVID's EASE 0.1 default?

Thank you very much in advance!

david ease

1 answer

Hi! Did you manage to find an answer to your question?? I'm kind of frustrated dealing with DAVID EASE score interpretation DAVID's EASE Score - parameter in Functional Annotation Clustering

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