An improved bayesian shrinkage regression algorithm for genomic selection

HIGHLIGHTS

  • who: Jin Zhang and colleagues from the College of Science, Nanjing Agricultural University, Nanjing, China have published the article: An Improved Bayesian Shrinkage Regression Algorithm for Genomic Selection, in the Journal: Genes 2022, 2193 of 13/03/2022
  • what: The authors develop new algorithm under the (BSR which is called BayesA) framework improved expectationmaximization algorithm for BayesA (emBAI). The authors propose a two-stage flexible approach to GS to estimate the GEBV. In this study, a series of simulated experiments and real datasets analyses are conducted to illustrate the advantages of this new method. The . . .

     

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