Controlling the False Discovery Rate for Feature Selection in High-resolution NMR Spectra.
Seoung Bum KimVictoria C. P. ChenYoungja ParkThomas R. ZieglerDean P. JonesPublished in: Stat. Anal. Data Min. (2008)
Keyphrases
- false discovery rate
- nmr spectra
- feature selection
- high resolution
- nuclear magnetic resonance
- error rate
- hypothesis testing
- high quality
- text classification
- chemical compounds
- image processing
- random forest
- feature set
- classification accuracy
- text categorization
- machine learning
- feature extraction
- support vector machine
- feature space
- support vector
- dimensionality reduction
- feature subset
- model selection
- test set
- gene expression
- multi class
- face recognition