Eyes S Robson

GUANinE v1.1 evaluates supervised and unsupervised genomic models, showing each excels on specific tasks and identifying tradeoffs in model performance and resource use.

This paper introduces Enformation Theory, a framework to evaluate and interpret deep learning models in genomics using Enformer and Borzoi as case studies.

GUANinE v1.0 provides benchmark datasets for evaluating genomic AI sequence-to-function models across functional genomics and evolutionary biology tasks.