Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach.
Nageswara Rao EluriGangadhara Rao KancharlaSuresh DaraVenkatesulu DondetiPublished in: Data Technol. Appl. (2022)
Keyphrases
- gene expression data
- feature selection
- cancer datasets
- gene expression data sets
- dna microarray
- gene expression microarray data
- cancer classification
- gene expression profiles
- gene selection
- deep learning
- microarray
- gene expression datasets
- data sets
- gene expression
- high dimensionality
- tissue samples
- high dimensional data
- classification accuracy
- data analysis
- microarray datasets
- feature subset
- microarray data
- machine learning
- training data
- pattern recognition
- unsupervised learning
- data collection
- biologically significant
- colon cancer
- data sources
- support vector
- text classification
- gene expression patterns
- data points
- input data
- feature extraction
- quantum inspired
- tumor classification
- analysis of gene expression data
- optimization algorithm
- evolutionary algorithm
- feature space
- model selection
- gene expression data analysis
- knowledge discovery
- genetic algorithm
- pairwise