Pages that link to "Item:Q2500262"
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The following pages link to Gene selection from microarray data for cancer classification -- a machine learning approach (Q2500262):
Displaying 13 items.
- Cancer feature selection and classification using a binary quantum-behaved particle swarm optimization and support vector machine (Q519834) (← links)
- Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine (Q961343) (← links)
- Penalized model-based clustering with unconstrained covariance matrices (Q1952033) (← links)
- A co-expression modules based gene selection for cancer recognition (Q2260293) (← links)
- Applications of Bayesian gene selection and classification with mixtures of generalized singular \(g\)-priors (Q2262183) (← links)
- Active learning for microarray data (Q2270376) (← links)
- Penalized model-based clustering (Q2426832) (← links)
- A novel approach to feature extraction from classification models based on information gene pairs (Q2476956) (← links)
- Exploiting scale-free information from expression data for cancer classification (Q2500327) (← links)
- Hybrid Classification of High-Dimensional Biomedical Tumour Datasets (Q3133951) (← links)
- Forward selection method with regression analysis for optimal gene selection in cancer classification (Q5294693) (← links)
- (Q5456729) (← links)
- Machine learning for diagnosis of diseases with complete gene expression profile (Q6082038) (← links)
