NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data.
Ibrahim Abed Al-GhaferNoor AlAfeshatLujain AlshomaliShaheen AlaneeHazem QattousMohammad AzzehAbedalrhman AlkhateebPublished in: Netw. Model. Anal. Health Informatics Bioinform. (2024)
Keyphrases
- feature selection
- data sets
- genetic algorithm
- data analysis
- feature space
- machine learning
- data sources
- text classification
- training data
- bladder cancer
- support vector
- feature vectors
- original data
- classification accuracy
- supervised learning
- irrelevant features
- selecting relevant features
- high dimensional data
- training samples
- data points
- feature set
- least squares
- decision trees
- clustering method
- support vector machine
- missing data
- class labels
- evolutionary algorithm
- discriminative features
- feature extraction
- neural network