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

Lignende værker

• Integrative approach using liver and duodenum RNA-Seq data identifies candidate genes and pathways associated with feed efficiency in pigs
  af: Ramayo-Caldas, Yuliaxis, et al.
  Udgivet: (2018)
• Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs
  af: Ramayo-Caldas, Yuliaxis, et al.
  Udgivet: (2019)
• Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line
  af: Sánchez, Juan P., et al.
  Udgivet: (2017)
• Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms
  af: Tusell, Llibertat, et al.
  Udgivet: (2020)
• Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs
  af: Messad, Farouk, et al.
  Udgivet: (2019)