Sparse bayesian learning for genomic selection in yeast

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• who: August et al. from the Research, United States Lactanet, Sainte-Anne-deBellevue, QC, Canada, Department of Computer Science, University of have published the article: Sparse bayesian learning for genomic selection in yeast, in the Journal: (JOURNAL)
• what: Using the coefficient of determination (R2) as measure, and running 10 times of 10-fold cross-validation (each time with random different folds), the authors evaluate the results of RVM models. In the experiments , the authors apply kernel RVMs with different PDS kernel types to investigate how they perform in predicting phenotypes. The authors compare the identified . . .
  

   

  

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