Kaeli Rizzo

This paper introduces DEGU, a method that improves deep learning reliability in genomics by combining ensemble learning and knowledge distillation to capture both average predictions and uncertainty.

PrismExp improves gene function prediction by partitioning RNA-seq co-expression data into tissue-specific segments, outperforming cross-tissue approaches across multiple domains.