A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification.
Zakariya Yahya AlgamalMuhammad Hisyam LeePublished in: Adv. Data Anal. Classif. (2019)
Keyphrases
- microarray data classification
- gene selection
- microarray data
- high dimensional
- gene expression data
- microarray
- discriminant analysis
- cancer classification
- cancer diagnosis
- gene expression
- gene expression profiles
- feature selection
- microarray datasets
- high dimensionality
- dna microarray
- data sets
- ensemble learning
- low dimensional
- high throughput
- feature ranking
- wilcoxon rank sum
- similarity search
- linear discriminant analysis
- high dimensional data
- address these issues
- text classification
- dimensionality reduction
- knn
- data points
- microarray technology
- decision trees