Liver biopsy-based validation, confirmation and comparison of the diagnostic performance of established and novel non-invasive steatotic liver disease indexes: Results from a … M Kouvari, L Valenzuela-Vallejo, V Guatibonza-Garcia, SA Polyzos, ... Metabolism 147, 155666, 2023 | 16 | 2023 |
MARS as an alternative approach of Gaussian graphical model for biochemical networks E Ayyıldız, M Ağraz, V Purutçuoğlu Journal of Applied Statistics 44 (16), 2858-2876, 2017 | 16 | 2017 |
Mathematical methods in engineering: Applications in dynamics of complex systems K Taş, D Baleanu, JAT Machado Springer, 2018 | 7 | 2018 |
Intelligent Mathematics II: Applied Mathematics and Approximation Theory GA Anastassiou, O Duman Springer International Publishing, 2016 | 7 | 2016 |
MARS as the alternative approach of GGM in modelling of biochemical systems E Ayyıldız, M Ağraz, V Purutçuoğlu Journal of Applied Statistics 44 (16), 2858-2876, 2016 | 6 | 2016 |
Extended lasso-type MARS (LMARS) model in the description of biological network M Ağraz, V Purutçuoğlu Journal of Statistical Computation and Simulation 89 (1), 1-14, 2019 | 4 | 2019 |
Bernstein approximations in glasso‐based estimation of biological networks V Purutçuoğlu, M Ağraz, E Wit Canadian Journal of Statistics 45 (1), 62-76, 2017 | 4 | 2017 |
Two new nonparametric models for biological networks D Seçilmiş, M Ağraz, V Purutçuoğlu Bayesian Reasoning and Gaussian Processes for Machine Learning Applications …, 2022 | 3 | 2022 |
Detection of outliers using Fouriertransform EC Akkuş, V Purutçuoğlu Gazi, M Ağraz null, 2017 | 3 | 2017 |
Different types of Bernstein operators in inference of Gaussian graphical model M Ağraz, V Purutçuoğlu Cogent Mathematics 3 (1), 1154706, 2016 | 3 | 2016 |
Transformations of data in deterministic modelling of biological networks M Ağraz, V Purutçuoğlu Intelligent Mathematics II: Applied Mathematics and Approximation Theory …, 2016 | 3 | 2016 |
Long-tailed graphical model and frequentist inference of the model parameters for biological networks M Ağraz, V Purutçuoğlu Journal of Statistical Computation and Simulation 90 (9), 1591-1605, 2020 | 1 | 2020 |
Different types of modellings and the inference of model parameters for complex biological systems M Agraz, V Purutçuoglu Master’s thesis, Middle East Technical University, 2017 | 1 | 2017 |
ChatGPT-Enhanced ROC Analysis (CERA): A shiny web tool for finding optimal cutoff points in biomarker analysis M Agraz, C Mantzoros, GE Karniadakis Plos one 19 (4), e0289141, 2024 | | 2024 |
Growth Differentiation Factor 15 (GDF-15) Levels Associated with the Presence and Severity of NAFLD L Valenzuela-Vallejo, P Chrysafi, V Guatibonza-García, C Boutari, ... Metabolism-Clinical and Experimental 142, 2023 | | 2023 |
Comparison of Feature Selection Methods in Breast Cancer Microarray Data M Agraz Medical Records 5 (2), 284-9, 2023 | | 2023 |
Long-term Prediction of Severe Hypoglycemia in Type 2 Diabetes Based on Multi-view Co-training M Agraz, Y Deng, G Karniadakis, C Mantzoros medRxiv, 2023.08. 08.23293518, 2023 | | 2023 |
ChatGPT-Enhanced ROC Analysis (CERA): A Shiny Web Tool for Finding Optimal Cutoff in Biomarker Analysis M Agraz, GEM Karniadakis bioRxiv, 2023.07. 13.548794, 2023 | | 2023 |
Machine learning characterization of a novel panel for metastatic prediction in breast cancer M Agraz, U Agyuz, EC Welch, K Yasin, K Birol Glob J Perioperative Med 6 (1), 005-011, 2022 | | 2022 |
Gene Expression Assay: A New Panel for Early Metastatic Risk Estimation for Breast Cancer M Agraz, U Agyuz, EC Welch, K Yasin, K Birol | | 2021 |