Selçuk Korkmaz

This paper introduces GERAS, a machine learning framework that classifies single-cell transcriptomes into chronological stages with high accuracy and identifies aging-related factors in zebrafish and human pancreatic cells.

The paper evaluates quaternary structure annotations in the PDB by comparing prediction methods and develops a web tool for researchers.