Cameron Dufault

Zero-shot segmentation using embeddings from a protein language model identifies functional regions in the human proteome

The paper introduces a zero-shot protein segmentation method using ProtT5 embeddings to identify and categorize functional protein segments without sequence conservation reliance.

Unsupervised Whole-Genome Representation Learning Captures Bacterial Phenotypes

This paper introduces a self-supervised whole-genome representation learning method for bacteria, showing it outperforms traditional feature-based approaches in predicting phenotypes.