A combination of kernel methods and genetic programming for gene expression pattern classification.
Cuong ToJiri VohradskyPublished in: RIVF (2006)
Keyphrases
- pattern classification
- gene expression
- kernel methods
- genetic programming
- microarray
- gene expression data
- kernel function
- microarray data
- support vector
- pattern recognition
- feature space
- gene expression profiles
- support vector machine
- feature extraction
- machine learning
- gene expression patterns
- gene selection
- binding sites
- multiple kernel learning
- high throughput
- combining multiple
- transcription factors
- sparse representation
- feature vectors