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Genomic Prediction of Complex Traits

Name: Genomic Prediction of Complex Traits
Brand: Springer-Verlag New York Inc.
SKU: 9781071622049
Price: 1306.53 RON
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Methods and Protocols

Autor: Nour Ahmadi, Jérôme Bartholome

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Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

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This volume explores the conceptual framework and the practical issues related to genomic prediction...

Informații despre carte

Autor

Nour Ahmadi, Jérôme Bartholome

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

648

EAN

9781071622049

Enbook ID

38499743

Editura

Springer-Verlag New York Inc.

Greutate

1429

Dimensiuni

178 x 254 x 41

Descriere completă

This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to predict phenotypic variations. Part Two presents the principles of genomic prediction of complex traits, and reviews factors that affect its reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation into genomic prediction models of "omics" data and crop growth models. Part Five is dedicated to lessons learned from cases studies in the fields of human health and animal and plant breeding, and to methods for analysis of the economic effectiveness of genomic prediction. Written in the highly successful Methods in Molecular Biology series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for further methodological researches. Cutting-edge and thorough, Complex Trait Predictions: Methods and Protocols is a valuable resource for scientists and researchers who are interested in learning more about this important and developing field. Chapters 3, 9, 13, 14, and 21 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.