Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets.
Jonathan Hoyin ChanPitak SootananPonlavit LarpeampaisarlPublished in: IJCNN (2011)
Keyphrases
- feature set
- feature selection
- microarray
- gene expression microarray data
- microarray data
- classification accuracy
- negatively correlated
- gene expression data sets
- microarray datasets
- dna microarray
- gene expression data
- cancer classification
- high dimensionality
- gene selection
- gene expression
- classification models
- feature extraction
- high throughput
- feature space
- differentially expressed genes
- positively correlated
- feature vectors
- feature subset
- feature reduction
- random forest
- text classification
- support vector
- class labels
- feature selection algorithms
- support vector machine
- microarray data analysis
- gene expression profiles
- regulatory networks
- cancer diagnosis
- gene ontology
- gene expression analysis
- selected features
- extracted features
- text categorization
- gene sets
- gene expression datasets
- machine learning
- ovarian cancer
- model selection
- image classification
- dimensionality reduction
- microarray analysis
- computer vision
- knn
- microarray images
- feature ranking