S3LR: Novel feature selection approach for Microarray-Based breast cancer recurrence prediction.
Asala N. ErekatMohammad T. KhasawnehPublished in: Expert Syst. Appl. (2024)
Keyphrases
- breast cancer
- microarray
- logistic regression
- microarray data
- feature selection
- gene expression data
- high dimensionality
- gene expression
- gene selection
- gene expression data sets
- cancer datasets
- microarray datasets
- survival analysis
- cancer classification
- high throughput
- bladder cancer
- related genes
- microarray data analysis
- dna microarray
- support vector
- experimental conditions
- cancer diagnosis
- gene expression analysis
- gene networks
- early detection
- gene ontology
- naive bayes
- selected genes
- gene expression profiles
- fold cross validation
- random forest
- data sets
- text categorization
- feature set
- classification accuracy
- gene expression datasets
- text classification
- machine learning
- cancer patients