Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.
Chiwen QuLupeng ZhangJinlong LiFang DengYifan TangXiaomin ZengXiaoning PengPublished in: Briefings Bioinform. (2021)
Keyphrases
- gene expression data
- feature selection
- high dimensionality
- microarray
- unsupervised learning
- microarray data
- supervised learning
- cancer classification
- classification accuracy
- machine learning
- dna microarray
- microarray datasets
- gene expression
- feature space
- gene expression profiles
- gene expression data sets
- data sets
- support vector
- text classification
- learning algorithm
- colon cancer
- gene expression datasets
- gene expression analysis
- analysis of gene expression data
- tumor classification
- neural network
- cancer diagnosis
- regulatory networks
- feature selection algorithms
- feature extraction
- gene selection
- microarray data analysis
- gene expression data analysis
- support vector machine svm
- dimensionality reduction
- decision trees
- gene expression microarray data