Author

Melih Ağraz

Giresun UniversityORCID 0000-0002-6597-7627Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

George Em KarniadakisiD· 2 shared Achilles Gatsonis· 1 shared Alan John VargheseiD· 1 shared Anshul B. ParulkariD· 1 shared Antony Chu· 1 shared Christos Socrates MantzorosiD· 1 shared Eric Wang· 1 shared Gaurav ChoudharyiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

George Em KarniadakisORCID

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3 papers

Recent·Most cited

Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements

Rana Raza Mehdi, Nikhil Kadivar, Sunder Neelakantan, Kyle J. Myers, Eric Wang, Melih Ağraz, Peng Zhang, George Karniadakis, Gaurav Choudhary, Reza Avazmohammadi

This paper introduces a physics-informed neural network to predict myocardial mechanics from physiological measurements, showing improved stress prediction and disease stratification in pulmonary hypertension.

bioRxiv · Oct 19, 2026 · PreprintBioengineering

A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning

Alan John Varghese, Achilles Gatsonis, Melih Ağraz, Vivek Oommen, Anshul B. Parulkar, Antony Chu, George Em Karniadakis

This paper develops a deep learning framework for obstructive sleep apnea classification from ECG signals, using two datasets and integrating feature engineering with transfer learning for improved generalization and personalization.

npj Biological Timing and Sleep · Aug 5, 2026Peer-reviewedBioinformatics

ChatGPT-Enhanced ROC Analysis (CERA): A Shiny Web Tool for Finding Optimal Cutoff in Biomarker Analysis

Melih Ağraz, Christos Socrates Mantzoros, George Em Karniadakis

CERA is a Shiny web tool that uses ChatGPT to simplify ROC curve analysis and cutoff determination for biomarker studies.

PLoS ONE · Apr 10, 2024Peer-reviewedBioinformatics