A comparison of three machine learning methods for multivariate genomic prediction using the (skm)

HIGHLIGHTS

• who: Method (SKM) Library et al. from the Facultad de Telemática, Universidad de Colima, Colima, Mexico have published the research: A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the (SKM), in the Journal: Genes 2022, 13, 1494. of /2022/
• what: The authors compare the prediction performance of three MT methods: the MT genomic best linear unbiased predictor (GBLUP) the MT partial least squares (PLS) and the multi-trait random forest (RF) methods. Based abovementioned considerations, the objectives of this paper are twofold. The authors assessed the prediction accuracy of the . . .
  

   

  

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