Identifying genetic marker sets associated with phenotypes via an efficient adaptive score test

Mathematics

• Score Test 100%
• Empirical Bayes 60%
• Phenotype 40%
• Weights 40%
• Samples 40%
• Degrees of Freedom 20%
• Test Statistic 20%
• Least Square 20%
• Largest Number 20%
• Mixed Model 20%
• Simulation Study 20%
• Statistical Hypothesis 20%
• Linear Mixed Model 20%
• Omnibus Test 20%
• Approximation 20%
• Parameters 20%
• Regression 20%
• Correlation 20%
• Score 20%
• Control 20%
• Variations 20%

Computer Science

• Procedures 100%
• Wide Association Study 40%
• Testing 40%
• Bioinformatics 20%
• Simulation Study 20%
• Power Gains 20%
• Biological Knowledge 20%
• Microarray Data 20%
• Profiling 20%
• Kernel Machine 20%
• Kernel Machine Regression 20%
• Standards 20%
• Application 20%
• Control 20%
• Correlation 20%
• Regression 20%
• Identification 20%
• Biometrics 20%

Biochemistry, Genetics and Molecular Biology

• Genetic Marker 60%
• Phenotype 40%
• Genome-Wide Association Study 40%
• Sample 40%
• Weight 40%
• Genetics 40%
• Nested Gene 20%
• Mutation 20%
• Bioinformatics 20%
• Gene Expression Profiling 20%
• Cancer Genetics 20%
• Reduction (Chemistry) 20%
• Single Nucleotide Polymorphism 20%
• Human Genetics 20%
• Microarray 20%