Association·arcadia
Nonlinear models outperform linear models with epistasis or GxE
Hypothesis that nonlinear genomic prediction models are most advantageous in populations where epistasis or gene-by-environment interactions exist, especially in structured populations or with fixed mutations between diverged lineages.
Confidence
70%
active
Evidence Quote
“Nonlinear models likely provide an edge over linear genomic prediction models in populations with prevalent epistasis or gene-by-environment interactions”
Relationship
Nonlinear genomic prediction models increases Ciprofloxacin resistance