Pages that link to "Item:Q961343"
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The following pages link to Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine (Q961343):
Displaying 8 items.
- A novel weighted support vector machine based on particle swarm optimization for gene selection and tumor classification (Q454637) (← links)
- Non-parametric detection of meaningless distances in high dimensional data (Q746216) (← links)
- Gene selection and prediction for cancer classification using support vector machines with a reject option (Q901576) (← links)
- Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide (Q961300) (← links)
- Saliency analysis of support vector machines for gene selection in tissue classification (Q1403022) (← links)
- Bayesian classification for bivariate normal gene expression (Q2445655) (← links)
- Identification of cancer genomic markers via integrative sparse boosting (Q2903326) (← links)
- Transcription factor-binding site identification and gene classification via fusion of the supervised-weighted discrete kernel clustering and support vector machine (Q5128604) (← links)
