MF-GARF: Hybridizing Multiple Filters and GA Wrapper for Feature Selection of Microarray Cancer Datasets.
Pakizah SaqibUsman QamarReda Ayesha KhanAndleeb AslamPublished in: ICACT (2020)
Keyphrases
- microarray
- feature selection
- cancer classification
- cancer datasets
- gene expression data
- microarray data
- gene selection
- microarray datasets
- gene expression
- high throughput
- high dimensionality
- gene expression data sets
- dna microarray
- gene ontology
- gene expression profiles
- feature ranking
- cancer diagnosis
- gene networks
- genetic algorithm ga
- text classification
- experimental conditions
- random forest
- support vector machine
- classification accuracy
- tissue samples
- feature set
- gene sets
- biological data
- feature selection algorithms
- feature subset
- support vector
- data analysis
- feature extraction
- informative genes
- machine learning
- biological processes
- transcription factors
- systems biology
- gene regulatory networks
- text categorization
- knn
- high dimensional
- feature space