Bayesian hierarchical structured variable selection methods with application to molecular inversion probe studies in breast cancer

Keyphrases

• Breast Cancer 100%
• Bayesian Hierarchical Model 100%
• Hierarchical Structure 100%
• Variable Selection Methods 100%
• Structured Variable Selection 100%
• Molecular Inversion Probes 100%
• Copy number Variation 75%
• Within-group 50%
• Variable Selection Model 50%
• Clinically Significant 25%
• Risk Stratification 25%
• Genetic Modification 25%
• Patient Outcomes 25%
• Genetic Markers 25%
• Group-specific 25%
• High-throughput Methods 25%
• Group Selection 25%
• Gene Architecture 25%
• Natural Grouping 25%
• Breast Cancer Subtypes 25%
• Prior Distribution 25%
• Clinically Meaningful Outcomes 25%
• Group Variable Selection 25%
• Serial Correlation 25%
• Model Errors 25%
• Grouping Structure 25%
• Simultaneous Selection 25%
• Bayesian Variable Selection 25%
• Bayesian Lasso 25%
• Discrete Mixture Prior 25%
• Bayesian Fused Lasso 25%
• LASSO Algorithm 25%
• Copy number Profiling 25%

Biochemistry, Genetics and Molecular Biology

• Molecular Inversion Probe 100%
• Group Selection 66%
• Genomics 33%
• Genetic Marker 33%