Pages that link to "Item:Q1010516"
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The following pages link to Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data (Q1010516):
Displaying 11 items.
- A modified local quadratic approximation algorithm for penalized optimization problems (Q147630) (← links)
- Adaptive clustering for time series: application for identifying cell cycle expressed genes (Q961284) (← links)
- Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data (Q1004954) (← links)
- Efficient methods for estimating constrained parameters with applications to regularized (Lasso) logistic regression (Q1023690) (← links)
- Favorability functions based on kernel density estimation for logistic models: a case study (Q1023800) (← links)
- Polarization of forecast densities: a new approach to time series classification (Q1615245) (← links)
- Sparse group Lasso and high dimensional multinomial classification (Q1621358) (← links)
- A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification (Q2324259) (← links)
- A hypothesis test using bias-adjusted AR estimators for classifying time series in small samples (Q2361221) (← links)
- Gene expression data classification model based on sparse representation and least square regression (Q2994438) (← links)
- Event Models for Tumor Classification with SAGE Gene Expression Data (Q3545132) (← links)
