Feature Selection for Genomic Signal Processing: Unsupervised, Supervised, and Self-Supervised Scenarios.
Sun-Yuan KungYuhui LuoMan-Wai MakPublished in: J. Signal Process. Syst. (2010)
Keyphrases
- feature selection
- signal processing
- unsupervised feature selection
- unsupervised learning
- semi supervised
- supervised learning
- unsupervised methods
- image processing
- supervised classification
- text categorization
- genomic data
- supervised and unsupervised learning
- dimensionality reduction
- discriminant projection
- text classification
- supervised methods
- information gain
- pointwise mutual information
- supervised feature selection
- fourier transform
- gene expression data
- word sense induction
- machine learning
- mutual information
- pattern recognition
- high dimensionality
- feature selection algorithms
- sequence data
- irrelevant features
- real world
- learning algorithm
- feature extraction
- support vector
- support vector machine
- model selection
- high throughput
- human genome
- filter bank
- weakly supervised
- feature space
- feature subset
- signal analysis
- classification accuracy
- feature set
- brain computer interface
- copy number
- cell lines
- data sets