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bhgyu
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@bhgyu-13069
Last seen 5.8 years ago
Hello there,
I've been struggling to find a non-parametric test to determine significantly differentially expressed genes in sample sets with lots of features.
Running Wilcox etc always gives me the same p-value even if I do something like:
ttest <- apply(dataset, 2, kruskal.test)
Does anyone know how to determine top features non-parametrically?
Cheers!
Why do you want a non-parametric test?
Hi Chris, cause I'm dealing with very small n of samples and can't be certain conditions for parametric tests are met.
I'd just use limma or one of the other bioconductor packages like DESEQ2.