Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis.
Cheng LiuHau-San WongPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2019)
Keyphrases
- logistic regression
- gene expression data analysis
- gene selection
- loss function
- microarray
- microarray data
- gene expression data
- gene expression
- decision trees
- support vector
- feature selection
- naive bayes
- gene expression profiles
- chi square
- microarray datasets
- gene expression analysis
- fold cross validation
- breast cancer
- feature ranking
- machine learning methods
- support vector machine svm
- high throughput
- data sets
- clustering algorithm
- pairwise
- support vector machine
- high dimensionality
- statistically significant
- information extraction
- model selection