An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification.
Niloufar MehrabiSayed Pedram Haeri BoroujeniElnaz PashaeiPublished in: CoRR (2023)
Keyphrases
- optimization algorithm
- microarray data
- biological data
- gene selection
- cancer classification
- high dimensional
- feature selection
- microarray
- microarray data analysis
- microarray datasets
- gene expression data
- multi objective
- gene expression profiles
- dna microarray
- cancer diagnosis
- gene expression
- high dimensionality
- high throughput
- molecular biology
- ovarian cancer
- data sets
- feature space
- biologically relevant
- biological networks
- biological sequences
- metabolic pathways
- gene regulatory networks
- systems biology
- pattern recognition
- cluster analysis
- support vector machine svm
- protein protein interactions
- feature extraction
- genetic algorithm
- gene sets
- machine learning methods
- text classification
- supervised learning
- feature vectors
- machine learning algorithms
- evolutionary algorithm
- data analysis
- learning algorithm
- databases
- model selection
- low dimensional
- training set