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Read individual chapters and view figures (like deep neural network schematics) on the NIH/NCBI Bookshelf . Key Content Highlights You can download the full text directly from
Covers linear multiple regression models, ordinary least squares (OLS), and maximum likelihood (ML) methods.
The book by Osval Antonio Montesinos López, Abelardo Montesinos López, and José Crossa is a comprehensive guide on modern genomic selection techniques. Download Options (Open Access) Why This Book is Used Includes code for
Features at least two illustrative examples per tool using real genomic selection data to help readers check their comprehension. Why This Book is Used
Includes code for the SKM (Sparse Kernel Method) library , which allows users to implement single-trait and multi-trait (MT) genomic predictions. deep learning for multivariate outcomes
Detailed explanations of regularized regression, deep learning for multivariate outcomes, and hyperparameters tuning.