Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification.
Zakariya Yahya AlgamalMuhammad Hisyam LeePublished in: Comput. Biol. Medicine (2015)
Keyphrases
- logistic regression
- gene selection
- cancer classification
- microarray data
- gene expression data
- linear support vector machines
- high dimensional
- microarray
- decision trees
- chi square
- random forest
- gene expression
- feature selection
- gene expression profiles
- support vector
- feature ranking
- naive bayes
- breast cancer
- high dimensionality
- data sets
- support vector machine
- microarray datasets
- fold cross validation
- low dimensional
- loss function
- feature space
- small sample size
- variable selection
- dimensionality reduction
- high dimensional data
- image processing
- linear svm
- machine learning
- machine learning methods
- nearest neighbor
- pattern recognition