Gene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi Classifiers.
Shilan S. HameedFahmi F. MuhammadRohayanti HassanFaisal SaeedPublished in: J. Comput. Sci. (2018)
Keyphrases
- microarray datasets
- gene selection
- feature selection
- feature ranking
- microarray data
- microarray
- cancer classification
- gene expression data
- relevant genes
- dna microarray
- gene expression
- gene expression profiles
- cancer diagnosis
- recursive feature elimination
- microarray classification
- microarray analysis
- gene sets
- support vector machine svm
- genetic algorithm ga
- data sets
- genetic algorithm
- support vector
- support vector machine
- high dimensionality
- gene expression datasets
- fitness function
- training set
- class labels
- informative genes
- classification accuracy
- decision trees
- classification models
- supervised learning
- random forest
- text classification
- machine learning methods
- neural network
- feature subset selection
- fold cross validation
- optimization method
- svm classifier
- machine learning algorithms
- k nearest neighbor