The empirical Bayes method is usually used to find differential protein expression in relative quantitative proteomics studies. To my knowledge, this method is suitable for a dataset with small sample size. However, I would like to know if this method is still suitable for a larger dataset (~ 30 samples/group) or if it will lead to a higher false negative rate.