Corrigendum to "S3LR: Novel feature selection approach for microarray-based breast cancer recurrence prediction" [Expert Syst. Appl. 241 (2024) 122457].
Asala N. ErekatMohammad T. KhasawnehPublished in: Expert Syst. Appl. (2024)
Keyphrases
- breast cancer
- microarray
- logistic regression
- microarray data
- gene expression data
- feature selection
- cancer datasets
- high dimensionality
- cancer classification
- gene expression
- gene selection
- microarray datasets
- gene expression data sets
- bladder cancer
- survival analysis
- high throughput
- dna microarray
- microarray data analysis
- related genes
- selected genes
- support vector
- early detection
- gene ontology
- gene expression profiles
- gene networks
- gene expression analysis
- experimental conditions
- naive bayes
- cancer diagnosis
- machine learning
- feature set
- text categorization
- gene expression datasets
- decision trees
- gene regulatory networks
- biological data
- feature extraction
- data mining
- feature ranking
- dimensionality reduction
- knowledge discovery
- classification accuracy
- high dimensional