Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers.
Mohammad Subhi Al-BatahBelal Mohammad ZaqaibehSaleh Ali AlomariMowafaq Salem AlzboonPublished in: Int. J. Online Biomed. Eng. (2019)
Keyphrases
- microarray
- cancer classification
- cancer datasets
- gene selection
- gene expression
- gene expression data
- gene expression profiling
- microarray data
- high throughput
- cancer diagnosis
- gene ontology
- gene sets
- gene expression datasets
- colon cancer
- gene expression profiles
- microarray gene expression data
- experimental conditions
- feature selection
- molecular biology
- high dimensionality
- relevant genes
- feature ranking
- gene expression analysis
- microarray datasets
- microarray analysis
- support vector
- dna microarray
- random forest
- microarray technology
- feature set
- expression profiles
- decision trees
- gene expression patterns
- expression patterns
- informative genes
- gene networks
- regulatory networks
- clustering analysis
- gene expression data sets
- biological data
- selected genes
- biological processes
- biological networks
- gene regulatory networks
- dna sequences
- naive bayes
- training set