GeneticsActa Scientiarum AgronomyPeer-reviewed
Subset selection of markers for genome-enabled prediction of genetic val-ues using radial basis function neural networks
Isabela de Castro Sant’Anna, Gabi Nunes Silva, Moysés Nascimento, Cosme Damião Cruz
The paper evaluates using radial basis function neural networks (RBFNN) with marker subset selection for genome-enabled prediction of genetic values, showing improved accuracy and reduced error compared to RR-BLUP.