Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs.

CONCLUSIONS: ML algorithms and RNA-Seq expression data were found to provide good performance for classifying pigs into high or low RFI groups. Classification was better with gene expression data from liver than from duodenum. Genes associated with FE in liver and duodenum tissue that can be used as predictive biomarkers for this trait were identified.
PMID: 30866799 [PubMed - in process]

Source: Genet Sel Evol - March 12, 2019 Category: Genetics & Stem Cells Authors: Piles M, Fernandez-Lozano C, Velasco-Galilea M, González-Rodríguez O, Sánchez JP, Torrallardona D, Ballester M, Quintanilla R Tags: Genet Sel Evol Source Type: research