Stability of feature selection algorithms for classification in high-throughput genomics datasets.
Panagiotis MoulosIoannis KanarisGianluca BontempiPublished in: BIBE (2013)
Keyphrases
- high throughput
- feature selection algorithms
- feature selection
- stability of feature selection
- microarray
- biological data
- systems biology
- genome wide
- data sets
- feature set
- imbalanced datasets
- classification accuracy
- mass spectrometry data
- microarray datasets
- feature subset
- gene expression
- learning models
- data acquisition
- small sample size
- protein protein interactions
- high dimensionality
- feature ranking
- experimental conditions
- selection algorithm
- image classification
- feature extraction
- similarity measure
- proteomic data
- cancer classification
- gene expression profiles
- mass spectrometry
- pattern classification
- sample size
- support vector machine svm
- low cost
- software engineering
- support vector machine
- feature vectors
- pattern recognition
- support vector
- decision trees
- machine learning