Prediction of Complex Traits Using Genomic Data

Gustavo De Los Campos • Daniel Gianola

Inbunden

1929:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

350 sidor
2026

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.

Författare: Gustavo De Los Campos, Daniel Gianola
Illustratör: black and white 20 Illustrations
Format: Inbunden
ISBN: 9781482253740
Språk: Engelska
Antal sidor: 350
Utgivningsdatum: 2026-01-05
Förlag: Apple Academic Press Inc.