Randy Clinton Paffenroth

This study quantifies the physical properties and phenotypes of S. epidermidis biofilm-detached cell clusters after matrix-targeted disruption, revealing differences in cluster morphology and abundance across disruption methods and strains.

This paper introduces a deep learning-based clustering method for gene expression data that integrates biological information, outperforming existing methods on yeast and human datasets.