An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data.
Passent M. ElKafrawyHanaa FathiMohammed QaraadAyda K. KelanyXumin ChenPublished in: IEEE Access (2021)
Keyphrases
- microarray data
- cancer classification
- high dimensional
- feature selection
- gene expression data
- gene selection
- microarray
- gene expression
- microarray gene expression data
- gene expression profiles
- analysis of gene expression
- data sets
- relevant genes
- cancer diagnosis
- gene regulatory networks
- biological data
- classification accuracy
- high dimensionality
- unsupervised learning
- dimensionality reduction
- support vector
- machine learning
- microarray analysis
- data mining