Alper Yılmaz

This researcher works at the intersection of computational biology and bioinformatics, applying machine learning, network analysis, and molecular modeling techniques to problems in genetics, cancer biology, and drug discovery. Recent work spans topics like microRNA and gene-regulation networks in cancer, molecular docking and QSAR studies for drug candidates, genomic data analysis, and applications of deep learning to structural health monitoring and medical image/video analysis. The breadth of topics suggests a computational methods-focused lab that applies similar analytical tools (networks, machine learning, statistical modeling) across diverse biological and engineering datasets.

Publication output has been variable but generally steady over the last decade, with a notable increase in output around 2022 and 2024, averaging under 4 papers per year over the last 5 years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026