Fig. 1.

Evolutionarily informed strategies for deep learning. (A) For prediction tasks involving a single species, genes are grouped into gene families before being further divided into a training and a test set to prevent deep learning models from learning family-specific sequence features that are associated with target variables. (B) For prediction tasks involving two species, orthologs are paired before being divided into a training and a test set to eliminate evolutionary dependencies.