Microarray-Based Disease Classification Using Pathway Activities with Negatively Correlated Feature Sets.
Pitak SootananSantitham Prom-onAsawin MeechaiJonathan Hoyin ChanPublished in: ICONIP (2) (2010)
Keyphrases
- feature set
- microarray
- feature selection
- classification accuracy
- dna microarray
- gene expression
- cancer classification
- negatively correlated
- gene expression microarray data
- random forest
- feature vectors
- high throughput
- classification models
- microarray data
- gene expression data
- ovarian cancer
- feature space
- differentially expressed genes
- gene expression profiles
- high dimensionality
- microarray data analysis
- feature extraction
- regulatory networks
- class labels
- positively correlated
- extracted features
- gene expression profiling
- microarray datasets
- gene selection
- gene networks
- microarray analysis
- gene expression analysis
- experimental conditions
- colon cancer
- functional genomics
- decision trees
- genome wide
- image classification
- training set
- pattern recognition
- support vector
- gene ontology
- machine learning
- data sets
- systems biology
- decision rules
- biological processes
- transcription factors
- computer vision