Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes
Abstract Background Transforming large amounts of genomic data into valuable knowledge for predicting complex traits has been an important challenge for animal and plant breeders. Prediction of complex traits has not escaped the current excitement on machine-learning, including interest in deep lear...
| Main Authors: | , , |
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| Format: | Article |
| Language: | deu |
| Published: |
BMC
2020-02-01
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| Series: | Genetics Selection Evolution |
| Online Access: | http://link.springer.com/article/10.1186/s12711-020-00531-z |