A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.
Michele CeccarelliAntonio d'AciernoAngelo M. FacchianoPublished in: BMC Bioinform. (2009)
Keyphrases
- cancer detection
- scale space
- ovarian cancer
- unsupervised feature selection
- multiscale
- mass spectra
- gene selection
- feature selection
- prostate cancer
- image structure
- image analysis
- image features
- text classification
- machine learning
- classification accuracy
- pattern recognition
- feature extraction
- mass spectrometry
- preprocessing
- high throughput
- data analysis
- neural network