Selection and Classification of Gene Expression Data Using a MF-GA-TS-SVM Approach.
Alberto Luis Hernández-MontielEdmundo Bonilla HuertaRoberto Morales-CaporalAntonio José Guevara-GarcíaPublished in: ICIC (3) (2014)
Keyphrases
- gene expression data
- support vector machine svm
- feature selection
- support vector
- gene selection
- cancer classification
- gene expression
- gene expression analysis
- support vector machine
- gene expression profiles
- microarray
- microarray data
- dna microarray data
- high dimensionality
- svm classifier
- colon cancer
- tumor classification
- svm classification
- classification accuracy
- dna microarray
- cancer diagnosis
- feature vectors
- microarray datasets
- genetic algorithm ga
- gene expression datasets
- pattern recognition
- feature space
- microarray data analysis
- gene expression data sets
- machine learning
- microarray gene expression data
- analysis of gene expression data
- data sets
- training set
- gene regulatory networks
- feature extraction
- high dimensional
- decision trees
- knn
- feature set
- text classification
- gene expression profiling
- cancer datasets
- gene expression microarray data
- regulatory networks
- feature ranking
- high throughput
- training data
- data mining
- neural network
- high classification accuracy
- tissue samples
- cluster analysis
- high dimensional data