Pages that link to "Item:Q2324259"
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The following pages link to A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification (Q2324259):
Displaying 12 items.
- Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data (Q1010516) (← links)
- High-dimensional pseudo-logistic regression and classification with applications to gene expression data (Q1020833) (← links)
- Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data (Q1800123) (← links)
- Adaptive sparse group LASSO in quantile regression (Q2051571) (← links)
- Identification of potential biomarkers on microarray data using distributed gene selection approach (Q2328468) (← links)
- Gene expression data classification model based on sparse representation and least square regression (Q2994438) (← links)
- GENE SELECTION USING LOGISTIC REGRESSIONS BASED ON AIC, BIC AND MDL CRITERIA (Q4679772) (← links)
- Ensemble of penalized logistic models for classification of high-dimensional data (Q5082679) (← links)
- Nested cross-validation with ensemble feature selection and classification model for high-dimensional biological data (Q6171282) (← links)
- A feature selection method for classification based on ensemble of penalized logistic models (Q6558498) (← links)
- Penalized logistic regression with prior information for microarray gene expression classification (Q6590277) (← links)
- An extensive simulation study for evaluation of penalized variable selection methods in logistic regression model with high dimensional data (Q6611719) (← links)
