Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs

HIGHLIGHTS

• who: Miriam Piles from the Nested resampling [33] was performed in order to obtain reliable performance estimates for the learners and to quantify the generalization ability of the generated classifier modelIt consists of two nested resampling loops. In the outer resampling loop, a tenfold cross-validation was performed by randomly dividing the dataset in , groups of equal size, taking into account the fact that data were slightly unbalanced. Thus, the subsets were stratified in order to keep a similar number of the less frequent class in each subset. One group was used as an outer validation set . . .
  

   

  

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