Predicting disease resistance of fish

*By: Christos Palaiokostas, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden * The ability to predict disease resistance using genomic information in aquaculture species has attracted considerable research efforts. In the current study, various Machine Learning (ML) models were evaluated in terms of their efficiency […]