Metin N. Gürcan

This study uses deep learning to analyze spatial immune patterns in tuberculosis-infected mice, identifying distinct granuloma features associated with asymptomatic, acute, and chronic disease states.

This paper introduces a deep learning classifier using PointNet on RNA-Seq data to classify tumors with over 99% accuracy.

This study identifies new genetic loci and candidate genes associated with tuberculosis susceptibility in mice using systems genetics approaches.