Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data.
Oluwabukunmi OyegbileFaisal SaeedSamer BamansoorPublished in: IRICT (2) (2023)
Keyphrases
- microarray data
- cancer classification
- high dimensional
- feature selection
- gene selection
- gene expression data
- microarray
- cancer diagnosis
- microarray gene expression data
- informative genes
- microarray datasets
- small sample size
- high dimensionality
- relevant genes
- gene expression profiles
- gene expression
- colon cancer
- dna microarray
- biological data
- cluster analysis
- low dimensional
- data sets
- high dimensional data
- dimensionality reduction
- gene expression patterns
- feature space
- feature ranking
- machine learning
- high throughput
- nearest neighbor
- support vector machine
- feature selection algorithms
- information gain
- random forest
- unsupervised learning
- text classification
- data points
- data analysis
- pattern recognition
- feature extraction
- decision trees
- analysis of gene expression