Multivariate Statistical Machine Learning Methods for Genomic Prediction

Multivariate Statistical Machine Learning Methods for Genomic Prediction
Author :
Publisher : Springer Nature
Total Pages : 707
Release :
ISBN-10 : 9783030890100
ISBN-13 : 3030890104
Rating : 4/5 (104 Downloads)

Book Synopsis Multivariate Statistical Machine Learning Methods for Genomic Prediction by : Osval Antonio Montesinos López

Download or read book Multivariate Statistical Machine Learning Methods for Genomic Prediction written by Osval Antonio Montesinos López and published by Springer Nature. This book was released on 2022-02-14 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.


Multivariate Statistical Machine Learning Methods for Genomic Prediction Related Books

Multivariate Statistical Machine Learning Methods for Genomic Prediction
Language: en
Pages: 707
Authors: Osval Antonio Montesinos López
Categories: Technology & Engineering
Type: BOOK - Published: 2022-02-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

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 statis
Modern Multivariate Statistical Techniques
Language: en
Pages: 757
Authors: Alan J. Izenman
Categories: Mathematics
Type: BOOK - Published: 2009-03-02 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as databas
Artificial Intelligence and Society 5.0
Language: en
Pages: 294
Authors: Vikas Khullar
Categories: Computers
Type: BOOK - Published: 2024-01-22 - Publisher: CRC Press

DOWNLOAD EBOOK

The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 – a social order supporte
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Ethics, Machine Learning, and Python in Geospatial Analysis
Language: en
Pages: 359
Authors: Galety, Mohammad Gouse
Categories: Technology & Engineering
Type: BOOK - Published: 2024-04-29 - Publisher: IGI Global

DOWNLOAD EBOOK

In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to effic