I have a microarray gene expression dataset which consists of 5 treated samples and only 1 control samples. I know that this kind of unbalanced design is not good for differential gene expression analysis. what I want to know is that which kind of differential gene expression method is most proper for this dataset?
1. a simple t test with the hypothesis that the data has a normal distribution
2. non parametric tests like rank test or rankprod
3. more advanced methods like limma
thank you for your time.