Classification of Microarray Data Using Kernel Based Classifiers.
Shipra SwatiMukesh KumarRitesh MishraPublished in: Rev. d'Intelligence Artif. (2019)
Keyphrases
- microarray data
- feature selection
- support vector
- building classification models
- microarray data analysis
- dna microarray data
- microarray datasets
- cancer classification
- microarray
- support vector machine
- decision trees
- gene expression data
- classification models
- dna microarray
- gene expression profiles
- svm classifier
- gene expression
- classification algorithm
- gene selection
- gene expression microarray data
- training samples
- machine learning algorithms
- gene sets
- data sets
- training set
- small number of samples
- text classification
- class labels
- classification accuracy
- high dimensional
- colon cancer
- ovarian cancer
- feature ranking
- machine learning methods
- cluster analysis
- machine learning
- multi class
- binary classifiers
- logistic regression
- high dimensionality
- feature vectors
- informative genes
- data analysis
- training data
- feature set
- naive bayes
- fold cross validation
- feature selection algorithms
- roc curve
- feature extraction
- pattern recognition
- accurate classifiers
- microarray analysis
- gene expression analysis
- nearest neighbor
- supervised learning
- support vector machine svm
- random forest