Use Complementary Tools: Combining limma with other statistical and bioinformatics tools can provide a more comprehensive analysis. Data Quality Control: Ensuring high-quality data through rigorous preprocessing and quality control steps can improve the reliability of limma's results. Consulting Experts: Collaborating with statisticians or bioinformaticians can help in setting up appropriate models for complex experimental designs.
