Here are some basic considerations or recommendations for data collection for meta-analysis
- All datasets should have been collected under comparable experimental conditions, and/or have similar hypothesis or mechanistic underpinnings;
- Only two-group comparisons are supported at the moment (i.e. control vs. treatment);
- All datasets must have (or can be converted to have) same gene ID type, with the majority of them overlap;
- It is best to keep all data on the same scale or range (i.e. both raw or normalized in the same way).