An efficient high-dimensional gene selection approach based on the Binary Horse Herd Optimization Algorithm for biologicaldata classification.
Niloufar MehrabiSayed Pedram Haeri BoroujeniElnaz PashaeiPublished in: Iran J. Comput. Sci. (2024)
Keyphrases
- optimization algorithm
- gene selection
- microarray data
- cancer classification
- high dimensional
- multi objective
- microarray
- gene expression data
- dna microarray data
- high dimensionality
- cancer diagnosis
- tumor classification
- ovarian cancer
- feature selection
- microarray data analysis
- dna microarray
- evolutionary multi objective
- colon cancer
- gene expression profiles
- microarray datasets
- support vector machine svm
- optimization method
- microarray analysis
- gene expression
- classification accuracy
- small sample size
- differential evolution
- text classification
- feature space
- evolutionary algorithm
- feature ranking
- artificial bee colony
- feature vectors
- hybrid optimization algorithm
- support vector machine
- pattern recognition
- support vector
- decision trees
- microarray classification
- survival prediction
- dimensionality reduction
- similarity search
- training set
- genetic algorithm
- data mining