As per b.nota, limma is quite valid (I have also used it) - just ensure that your data distribution is normal. Others just use standard statistical tests, like t-test, ANOVA, etc. If your data distribution is not normal (or you have low sample n), then ensure that you use a non-parametric test (Mann-Whitney test, Kruskal-Wallis ANOVA, et cetera).
how to compare proteomics data?
I have proteome data for control and disease. I should compare their proteins for what differences between them. which tools you recommed? Thank you
• 2,390 views
•
link
1 answer
If your data is properly normalized, you can try limma. I have been using limma for LFQ normalized ms/ms data. Of course you need biological replicates (if you have them it is not clear from your post).
• 1 views
•
link
• 1 views
•
link
Log in to answer this question.