Sinan Ozbay

This paper introduces Sceodesic, a method that improves cell phenotype estimation from scRNA-seq by analyzing local gene coexpression patterns using Riemannian geometry, outperforming existing approaches in prediction and biological interpretation.

The paper develops a machine learning tool to predict S-palmitoylation sites on transmembrane proteins, identifying new candidates and demonstrating its utility in design.