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Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
BACKGROUND: To date, the molecular mechanisms that underlie residual feed intake (RFI) in pigs are unknown. Results from different genome-wide association studies and gene expression analyses are not always consistent. The aim of this research was to use machine learning to identify genes associated...
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| Publicado no: | Genet Sel Evol |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6417084/ https://ncbi.nlm.nih.gov/pubmed/30866799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-019-0453-y |
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