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Cookie akzeptieren![Montesinos López, Osval Antonio / Crossa, José et al. Multivariate Statistical Machine Learning Methods for Genomic Prediction. Springer International Publishing, 2022.](https://eichendorff21.de/cdata/D8cP3sjef3IzB4A3jSIRk-HOFY8=/300x0/9783030890124.png)
Osval Antonio Montesinos López / José Crossa / Abelardo Montesinos López
Multivariate Statistical Machine Learning Methods for Genomic Prediction
- Springer International Publishing
- 2022
- Taschenbuch
- 716 Seiten
- ISBN 9783030890124
This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative
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