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I actually noticed that in the portal it uses the one-sided but in papers, I've seen two-sided and that's what i personally use. You're predicting the direction of the effect with one-sided, something i'm not sure how you can do in this situation. with directionality (one sided) the pvalue is half the 2 sided pvalue so more samples will pass FDR cutoffs (in laymans terms). (caveat: I'm not a stats expert )
I agree with the above, I always use a two-sided test in this setting
Generally speaking, a two-sided test is almost always more appropriate
In both the Mutual Exclusivity tab and the Comparison page/tab, we use 1-side Fisher's Exact test. Two-sided is more appropriate:
Some anonymous feedback on this from others:
And user that raised it: https://groups.google.com/g/cbioportal/c/WbPzItsK_Vc/m/wlTdzmf3AQAJ
Question: T-test for continuous data (mRNA tab and protein tab), should we use two sided here as well? Maybe create follow-up ticket?
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