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IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 18, 2022
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent AccessibilityYasin Gormez, Zafer Aydin
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 21, 2021
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's DiseaseYunus Emre Isik, Yasin Gormez, Zafer Aydin, et al.
Journal of Microbiological Methods|September 5, 2020
Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilliZülal Kesmen, Özge Kılıç, Yasin Gormez, et al.
Diagnostics (Basel, Switzerland)|July 13, 2024
Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic RetinopathyFatma Hilal Yagin, Cemil Colak, Abdulmohsen Algarni, et al.
Medicina (Kaunas, Lithuania)|October 29, 2025
Machine Learning Classification of Cognitive Status in Community-Dwelling Sarcopenic Women: A SHAP-Based Analysis of Physical Activity and Anthropometric FactorsYasin Gormez, Fatma Hilal Yagin, Yalin Aygun, et al.
Frontiers in Molecular Biosciences|January 2, 2025
Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligenceFatma Hilal Yagin, Yasin Gormez, Fahaid Al-Hashem, et al.
Pharmaceuticals (Basel, Switzerland)|July 30, 2025
Precision Enhanced Bioactivity Prediction of Tyrosine Kinase Inhibitors by Integrating Deep Learning and Molecular Fingerprints Towards Cost-Effective and Targeted Cancer TherapyFatma Hilal Yagin, Yasin Gormez, Cemil Colak, et al.
Metabolites|December 22, 2023
Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 DiabeticsFatma Hilal Yagin, Seyma Yasar, Yasin Gormez, et al.
Diagnostics (Basel, Switzerland)|September 28, 2023
Estimation of Obesity Levels through the Proposed Predictive Approach Based on Physical Activity and Nutritional HabitsHarika Gozde Gozukara Bag, Fatma Hilal Yagin, Yasin Gormez, et al.
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