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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Detalles Bibliográficos
Autores principales: Piles, Miriam, Fernandez-Lozano, Carlos, Velasco-Galilea, María, González-Rodríguez, Olga, Sánchez, Juan Pablo, Torrallardona, David, Ballester, Maria, Quintanilla, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417084/
https://www.ncbi.nlm.nih.gov/pubmed/30866799
http://dx.doi.org/10.1186/s12711-019-0453-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417084/
https://www.ncbi.nlm.nih.gov/pubmed/30866799
http://dx.doi.org/10.1186/s12711-019-0453-y

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