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Prediction of Complex Traits Using Genomic Data
Hardcover
Series: Chapman & Hall/CRC Biostatistics
BiologyProbability & Statistics
ISBN13: 9781482253740
Publisher: CRC Press
Published: Jan 5 2026
Pages: 350
Language: English
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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