Lost in translation: On the problem of data coding in penalized whole genome regression with interactions

Keyphrases

• Data Coding 100%
• Total Degree 100%
• Lost in Translation 100%
• Whole-genome Regression 100%
• Interaction Effect 66%
• Penalized Regression 66%
• Regression Approach 50%
• Mixed Models 50%
• Variable Coding 50%
• Ridge Regression Best Linear Unbiased Prediction 50%
• Additive Effect 50%
• Genetic Value 33%
• Fixed Effects 16%
• Effect Estimates 16%
• Wheat 16%
• Predictor Variables 16%
• Computation Time 16%
• Publicly Available 16%
• Genetic Interaction 16%
• Interaction Type 16%
• Effect Model 16%
• Reproducing Kernel Hilbert Space 16%
• Modeling Effect 16%
• Marker Effects 16%
• Polynomial Regression 16%
• Biological Interpretation 16%
• Coding Issues 16%
• Value Effect 16%
• Least Absolute Shrinkage and Selection Operator (LASSO) 16%
• Monomial 16%
• Translation Invariance 16%
• Hadamard Product 16%
• Invariance 16%
• Epistasis 16%
• Single nucleotide Polymorphism 16%
• Statistical Genetics 16%
• Case Prediction 16%
• Covariance Matrix 16%

Mathematics

• Interaction Effect 100%
• Ridge Regression 75%
• Linear Unbiased Prediction 75%
• Total Effect 75%
• Mixed Model 75%
• Lasso Regression 25%
• Interpretability 25%
• Polynomial Regression 25%
• Polynomial 25%
• Hadamard Product 25%
• Monomials 25%
• Effect Estimate 25%
• Hilbert Space 25%
• Predictor Variable 25%
• Covariance Matrix 25%
• Modeling Approach 25%

Biochemistry, Genetics and Molecular Biology

• Genetics 100%
• Statistical Genetics 50%
• Single-Nucleotide Polymorphism 50%
• Translating (Language) 50%