Entering edit mode
4.2 years ago
Morteza Hadizadeh
▴
60
Dear all,
I want to find common genes for 4 different diseases, I have 4 microarray datasets with the same platforms (Affymetrix). Which is the best way for the determination of common genes? I merge all datasets and remove batch effects or analysis each dataset individually and then detect common genes?
I would be very pleased if you could guide me.
You can only remove batch effects if you have replicates of the samples in each batch (so each study) which you don't if I get this right. Therefore option two is what you should do, followed by some kind of meta-analysis.
The second option is more robust here. you can undertake a ranked-based meta-analysis approach like This package do was intorduced to resolve similar issues.