Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation.
Mickaël GuedjStéphane RobinAlain CelisseGrégory NuelPublished in: BMC Bioinform. (2009)
Keyphrases
- semi parametric
- false discovery rate
- density estimation
- regression model
- constrained optimization
- statistical inference
- least squares
- hypothesis testing
- error rate
- regression problems
- kernel function
- parametric models
- feature selection
- linear model
- kernel methods
- feature space
- statistically significant
- support vector
- image segmentation