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Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle
BACKGROUND: Genomic prediction for novel traits, which can be costly and labor-intensive to measure, is often hampered by low accuracy due to the limited size of the reference population. As an option to improve prediction accuracy, we introduced a semi-supervised learning strategy known as the self...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5098288/ https://www.ncbi.nlm.nih.gov/pubmed/27821057 http://dx.doi.org/10.1186/s12711-016-0262-5 |