Rikard Forlin

The paper introduces PNA, a DNA-based method to map protein organization and interactions in single cells, revealing abundance, clustering, and colocalization relationships.

This paper introduces a cluster-free method for single-cell annotation using Earth Movers Distance and a Bayesian classifier, improving accuracy and scalability compared to traditional clustering-based approaches.