Pages that link to "Item:Q2893383"
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The following pages link to Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines (Q2893383):
Displaying 14 items.
- A novel power-based approach to Gaussian kernel selection in the kernel-based association test (Q670183) (← links)
- Semiparametric kernel-based regression for evaluating interaction between pathway effect and covariate (Q1654561) (← links)
- Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning (Q1951519) (← links)
- Bayesian semiparametric model for pathway-based analysis with zero-inflated clinical outcomes (Q2363720) (← links)
- Detecting two-locus gene-gene effects using monotonisation of the penetrance matrix (Q2863969) (← links)
- Kernel Machine Approach to Testing the Significance of Multiple Genetic Markers for Risk Prediction (Q3100801) (← links)
- Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect (Q5214523) (← links)
- Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine (Q5739258) (← links)
- A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies (Q5885081) (← links)
- LRBmat: a novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer (Q6136943) (← links)
- Bayesian pathway selection (Q6176243) (← links)
- Kernel Cox partially linear regression: building predictive models for cancer patients' survival (Q6560452) (← links)
- Joint semiparametric kernel network regression (Q6560519) (← links)
- A weighted kernel machine regression approach to environmental pollutants and infertility (Q6625687) (← links)
