Prediction of Complex Traits Using Genomic Data (inbunden)

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Format: Inbunden (Hardback)
Språk: Engelska
Antal sidor: 350
Utgivningsdatum: 2026-01-05
Förlag: Apple Academic Press Inc.
Illustratör/Fotograf: black and white 20 Illustrations
Illustrationer: 20 Illustrations, black and white
Antal komponenter: 1
ISBN: 9781482253740

Prediction of Complex Traits Using Genomic Data

Name: Prediction of Complex Traits Using Genomic Data
Price: 1076.00 SEK
Availability: OutOfStock
Author: Gustavo De Los Campos, Daniel Gianola
ISBN: 9781482253740

av Gustavo De Los Campos, Daniel Gianola

Inbunden, Engelska, 2026-01-05

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This book explains and demonstrates with real and simulated examples how whole-genome information can be used for predicting complex traits, with applications in animal, human, and plant genetics. After giving a brief introduction, the book covers linear models and dimensionality, plus regularized regressions. It then progresses to the genomic best linear unbiased predictor, the Bayesian alphabet, reproducing Kernel Hiblert spaces regressions, penalized neural networks, and re-sampling methods. Lastly, it covers whole genome regression and population stratification.

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Introduction. A Brief History of Quantitative Genetics. Complex Traits, Interactions, and Challenges to Prediction. Linear Models and the Curse of Dimensionality. Regularized Regressions. The Genomic Best Linear Unbiased Predictor. The Bayesian Alphabet. Reproducing Kernel Hiblert Spaces Regressions. Penalized Neural Networks. Re-sampling Methods. Whole Genome Regression and Population Stratification. Appendices.