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Accuracy and sensitivity of different Bayesian methods for genomic prediction using simulation and real data

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Publication:830637
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DOI10.1515/SAGMB-2019-0007zbMath1461.92062OpenAlexW3049632530WikidataQ98296588 ScholiaQ98296588MaRDI QIDQ830637

Saheb Foroutaifar

Publication date: 7 May 2021

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2019-0007


zbMATH Keywords

simulationBayesian methodsgenetic architecturegenomic prediction


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)



Uses Software

  • BGLR



Cites Work

  • Improving the efficiency of genomic selection
  • The Bayesian Lasso




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