Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction.

Genomic prediction (GP) has catalyzed increased rates of genetic gain in animal and plant breeding. Recently, deep learning (DL) has been explored to increase GP accuracy by incorporating diverse data types and learning complex, non-linear patterns i…

Preview only. Read the full abstract at the source