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Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes.

Rostam Abdollahi-ArpanahiDaniel GianolaFrancisco Peñagaricano
Published in: Genetics, selection, evolution : GSE (2020)
For prediction of traits with non-additive gene action, gradient boosting was a robust method. Deep learning approaches were not better for genomic prediction unless non-additive variance was sizable.
Keyphrases
  • deep learning
  • copy number
  • convolutional neural network
  • genome wide
  • artificial intelligence
  • machine learning
  • transcription factor
  • genome wide analysis