Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting.
Jan GertheissGerhard TutzPublished in: Bioinform. (2009)
Keyphrases
- mass spectrometry
- supervised feature selection
- feature selection
- mass spectrometry data
- high throughput
- proteomic data
- mass spectra
- text classification
- unsupervised learning
- ovarian cancer
- spectral data
- learning algorithm
- drug discovery
- time of flight
- text categorization
- ensemble methods
- dimensionality reduction
- feature relevance
- pattern recognition
- systems biology
- semi supervised
- pairwise
- ms ms
- feature extraction
- machine learning