1st Edition
Prediction of Complex Traits Using Genomic Data
350 Pages
20 B/W Illustrations
by
Chapman & Hall
Introduction. A Brief History of Quantitative Genetics. Complex Traits, Interactions, and Challenges to Prediction. Linear Models and the Curse of Dimensionality. Regularized Regressions. The Genomic Best Linear Unbiased Predictor. The Bayesian Alphabet. Reproducing Kernel Hiblert Spaces Regressions. Penalized Neural Networks. Re-sampling Methods. Whole Genome Regression and Population Stratification. Appendices.
