Multiple testing for gene sets from microarray experiments
2011
New Method for Analyzing Gene Sets in Microarray Studies
Sample size: 100
publication
Evidence: high
Author Information
Author(s): Sohn Insuk, Owzar Kouros, Lim Johan, George Stephen L, Mackey Cushman Stephanie, Jung Sin-Ho
Primary Institution: Samsung Cancer Research Institute
Hypothesis
Can a new permutation-based method improve gene set testing in microarray studies while controlling the false discovery rate?
Conclusion
The proposed method effectively controls the false discovery rate and outperforms existing methods in identifying prognostic gene sets.
Supporting Evidence
- The proposed method controls the false discovery rate at the desired level.
- Simulations show that the method performs better than GSEA and GSA.
- Real case studies demonstrate the method's effectiveness in identifying prognostic gene sets.
Takeaway
This study introduces a new way to analyze groups of genes in medical research, helping scientists find important gene patterns more accurately.
Methodology
The study uses a permutation-based framework to test gene sets while controlling for false discovery rates.
Digital Object Identifier (DOI)
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