A Novel Feature Selection Method to Improve Classification of Gene Expression Data.
Liang GohQun SongNikola K. KasabovPublished in: APBC (2004)
Keyphrases
- gene expression data
- high dimensionality
- microarray
- cancer classification
- gene expression analysis
- gene expression
- feature selection
- dna microarray data
- colon cancer
- gene expression profiles
- dna microarray
- microarray data
- gene expression datasets
- microarray datasets
- cancer diagnosis
- tumor classification
- analysis of gene expression data
- pattern recognition
- microarray data analysis
- decision trees
- machine learning methods
- data sets
- classification accuracy
- microarray gene expression data
- gene regulatory networks
- support vector machine svm
- support vector machine
- gene expression data analysis
- feature vectors
- feature space
- gene expression profiling
- gene expression microarray data
- tissue samples
- gene selection
- gene expression data sets
- cancer datasets
- high dimensional data
- high dimensional
- machine learning
- data mining
- gene expression patterns
- regulatory networks
- molecular biology
- biological data
- high throughput
- knn
- functional genomics
- training set
- neural network