Single Gene Expression Analysis' p-value or adjusted p-value

What’s the difference between the two? In determining significant genes which is preferably used? Thanks.

Adjusted p-value is typically used because of the multiple hypothesis characteristic of omics data analysis.

‘Adjusted p-values’ are a very common, general statistical concept - you should be able to easily find some good, introductory tutorials on Youtube/Google.

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Adjusted p value is also known as false discovery rate (FDR), which are preferred in omics data analysis to control false positives (Type I error) associated with multiple testings. A good intro on these concepts can be found here

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Thanks for the explanation. Very helpful.

Great, thanks a lot for this clarification and suggestion