Access the book entry and multiple mirror links via the DOAB portal .
This book is designed for statisticians, breeders, and data scientists to bridge the gap between theory and practical application in plant and animal breeding. Access the book entry and multiple mirror links
Includes code for the SKM (Sparse Kernel Method) library , which allows users to implement single-trait and multi-trait (MT) genomic predictions. Detailed explanations of regularized regression
Detailed explanations of regularized regression, deep learning for multivariate outcomes, and hyperparameters tuning. deep learning for multivariate outcomes
Features at least two illustrative examples per tool using real genomic selection data to help readers check their comprehension. Why This Book is Used
Since this book is published under a license, it is available for free download through official open-access repositories:
You can download the full text directly from the OAPEN Library .