Tamer Kahveci

The paper constructs replication timing networks from human cell types and identifies master regulators and novel trans interactions between transcription factors and RT changes.

This paper introduces a novel motif counting algorithm, POMOC, that accounts for resource constraints in biological networks, showing it provides more accurate motif counts and reveals insights into how stress factors affect network organization.

This paper introduces an algorithm to identify co-evolving temporal networks and demonstrates its ability to find novel genes associated with aging-related diseases.