Proteomics DEA
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4 weeks ago

I have proteomics data where most proteins do not follow normal distribution. I am not sure if it would be better to perform a specific differential expression analysis, or if I could log2transform and normalize data (for example, thorugh Quantile method), and after that, performing DEA with limma.

Proteomics • 392 views
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limma is a specific differential expression analysis --in my opinion the most generic and useful one for most HT datasets.

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But resuts are much worse than Wilcoxon test, because most proteins do not follow normal distribution.

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limma does not require normal distribution. It is one of the most extensively used testing framework for any OMICS dataset.

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