Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs - Messad, Farouk; Louveau, Isabelle; Koffi, Basile; Gilbert, Hélène; Gondret, Florence (BMC genomics, 2019)
Keywords: Algorithms; Animal biology; Animal experimentation; Animal Feed; Animal feeding and feeds; Animal Genetics and Genomics; Animals; Back Muscles - metabolism; Beef cattle; Biological products; Biomedical and Life Sciences; Breeding; Diet, High-Fat; Feed efficiency; Genes; Genetic aspects; Genetic research; Legal fees; Life Sciences; Lipids; Machine Learning; Messenger RNA; Microarrays; Microbial Genetics and Genomics; Models, Biological; Muscle; Non-human and non-rodent vertebrate genomics; Physiological aspects; Pig; Plant Genetics and Genomics; Pork industry; Prediction; Proteomics; Regression analysis; Research Article; RNA; Swine; Swine - genetics; Swine - growth & development; Swine - metabolism; Tissue Array Analysis; Transcriptome; Transforming growth factors; France; Muscle; Feed efficiency; Machine learning; Prediction; Transcriptome; Pig; méta-analyse; biomarqueur; porc; pcr quantitative; biomarker; swine; expression des gènes; efficacité alimentaire; apprentissage automatique; modèle de prédiction