A new hybrid wrapper TLBO and SA with SVM approach for gene expression data.
Alok Kumar ShuklaPradeep SinghManu VardhanPublished in: Inf. Sci. (2019)
Keyphrases
- gene expression data
- feature selection
- gene selection
- support vector
- simulated annealing
- high dimensionality
- support vector machine
- feature ranking
- microarray data
- microarray
- support vector machine svm
- gene expression
- particle swarm optimization pso
- gene expression analysis
- cancer classification
- microarray gene expression data
- gene regulatory networks
- gene expression data sets
- genetic algorithm ga
- data sets
- knn
- classification accuracy
- feature space
- svm classifier
- feature set
- feature extraction
- gene expression profiles
- dna microarray
- gene expression patterns
- gene expression data analysis
- analysis of gene expression data
- gene expression profiling
- regulatory networks
- microarray datasets
- machine learning
- gene networks
- cancer diagnosis
- high dimensional data
- dimensionality reduction
- gene expression datasets
- feature vectors
- high dimensional
- dna microarray data
- information extraction
- feature subset
- pattern recognition
- training data