Author

Ragıp Onur ÖZTORNACI

Koç UniversityORCID 0000-0002-9847-4030Unclaimed 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 Assay:GWAS summary statistics· 2 Approach:machine learning (classical)· 2 Approach:deep learning· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Bahar TaşdeleniD· 2 shared Andrew P. MorrisiD· 1 shared Cemil ÇolakiD· 1 shared Erdal CoşguniD· 1 shared Hamzah SyediD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Bahar TaşdelenORCID

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2 papers

Recent·Most cited

Prediction of Polygenic Risk Score by Machine Learning and Deep Learning Methods in Genome-wide Association Studies

Ragıp Onur ÖZTORNACI, Erdal Coşgun, Cemil Çolak, Bahar Taşdelen

The paper compares machine learning and deep learning methods to classical approaches for calculating polygenic risk scores using GWAS data, finding ML methods provide more consistent case-control separation.

Turkiye Klinikleri Journal of Biostatistics · Jan 1, 2025Peer-reviewedBioinformatics

The Use of Class Imbalanced Learning Methods on ULSAM Data to Predict the Case-Control Status in Genome-Wide Association Studies

Ragıp Onur ÖZTORNACI, Hamzah Syed, Andrew P. Morris, Bahar Taşdelen

This paper compares ML methods for predicting T2D status from GWAS data using imbalanced learning techniques, finding that MLP with SMOTE achieves the highest accuracy.

Journal Of Big Data · Nov 30, 2023Peer-reviewedBioinformatics