M. Mert Gencturk

This paper introduces REFCON, a deep-learning model for reference-free copy number inference in single-cell tumor transcriptomes, showing improved accuracy and robustness compared to existing methods.

CoNVict is an agentic AI system that prioritizes copy number variants in rare disease diagnosis by ranking candidates through structured reasoning, outperforming existing methods in identifying causal variants.

ExactCN improves copy number variation estimation from whole-exome sequencing data using deep learning, achieving better accuracy than existing methods.