Using a chi-squared test for independence for DEG analysis
Hi,
I have an expression matrix of data from three different conditions (about 75 samples in total, 25 for each condition). To identify differentially expressed genes, is it possible to do a chi-squared test for independence, comparing the groups? So I compare group A to B, B to C and C to A.
Is this advisable, if so, why not and what should I do in stead?
Thank you so much!
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Use any of the established tools such as DESeq2, edgeRor limma. Please read the respective papers to see why these specialized methods exist and how they compare to naive approaches.
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Thank you so much! :):)