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Published on: November 14, 2018
An adaptive single-step FDR procedure with applications to DNA microarray analysis
Vishwanath Iyer1, Sanat Sarkar
1Bristol Myers Squibb Pharm. Inc, 5 Research Parkway, Wallingford, CT 06492, USA. viyer@temple.edu
Biometrical Journal. Biometrische Zeitschrift
|March 9, 2007
Summary
This study enhances False Discovery Rate (FDR) control in DNA microarray analysis by modifying a single-step procedure. The adaptive method improves FDR control, offering better insights for exploratory research.
Area of Science:
- Statistics
- Bioinformatics
- Genomics
Background:
- Multiple hypothesis testing is crucial in DNA microarray analysis.
- Traditional FWER procedures are inadequate for exploratory research.
- False Discovery Rate (FDR) control is preferred for managing false positives.
Purpose of the Study:
- To modify the Genovese-Wasserman single-step FDR procedure for improved control.
- To develop an adaptive FDR procedure using mixture model estimation.
- To evaluate the performance of the proposed adaptive procedure.
Main Methods:
- Modification of the Genovese-Wasserman procedure for FDR control.
- Estimation of mixture of two normals parameters using the EM algorithm.
- Numerical verification of the adaptive procedure's properties.
Main Results:
- The modified procedure demonstrates improved FDR control closer to the target level alpha.
- The adaptive procedure, utilizing estimated parameters, shows effective FDR control.
- Numerical comparisons validate the performance against existing methods.
Conclusions:
- The proposed adaptive FDR procedure offers enhanced control for DNA microarray analysis.
- This method is particularly beneficial for exploratory studies.
- The adaptive approach provides a robust alternative to existing FDR controlling procedures.
