Z. Aydın

发表

PROTEIN FUNCTION PREDICTION WITH AMINO ACID SEQUENCE AND SECONDARY STRUCTURE ALIGNMENT SCORES

Eser Aygün, Z. Cataltepe, Caner Kömürlü, 2008 .

Lung cancer subtype differentiation from positron emission tomography images

B. Yılmaz, Semra Içer, Z. Aydın, 2020, Turkish J. Electr. Eng. Comput. Sci..

Protein Torsion Angle Class Prediction by a Hybrid Architecture of Bayesian and Neural Networks

William Stafford Noble, J. Bilmes, D. Baker, 2012 .

Performance Analysis of Machine Learning and Bioinformatics Applications on High Performance Computing Systems

Z. Aydın, 2020 .

FBSEM: A Novel Feature-Based Stacked Ensemble Method for Sentiment Analysis

Yunus Emre Işık, Yunus Emre Isik, Z. Aydın, 2020, International Journal of Information Technology and Computer Science.

Applications of Signal Processing in Genomic Research

Y. Altunbasak, Z. Aydın, 2005 .

The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease

B. Bakir-Gungor, Z. Aydın, Yasin Görmez, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

Paolo Bonato, Gloria Vergara-Diaz, Yuanfang Guan, 2020, bioRxiv.

Training Set Reduction Methods for Single Sequence Protein Secondary Structure Prediction

Y. Altunbasak, I.K. Pakatci, H. Erdogan, 2007, 2007 IEEE 15th Signal Processing and Communications Applications.

Training Set Reduction Methods for Protein Secondary Structure Prediction in Single-Sequence Condition

Y. Altunbasak, Y. Altunbasak, I. K. Pakatci, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Metabolic Imaging Based Sub-Classification of Lung Cancer

Zafer Aydin, Alper Basturk, Bulent Yilmaz, 2020, IEEE Access.

Protein secondary structure prediction for a single-sequence using hidden semi-Markov models

Yücel Altunbasak, Zafer Aydin, Mark Borodovsky, 2006, BMC Bioinformatics.

Protein β-sheet prediction using an efficient dynamic programming algorithm

Zafer Aydin, Mahmoud Naghibzadeh, Mostafa Sabzekar, 2017, Comput. Biol. Chem..

Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling

Z. Aydın, Ü. Yilmaz, C. Gezer, 2021, 2021 the 5th International Conference on Information System and Data Mining.

ROI Detection in Mammogram Images Using Wavelet-Based Haralick and HOG Features

Zafer Aydin, Kasim Tasdemir, Sena Busra Yengec Tasdemir, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Effect of interpolation on specular reflections in texture‐based automatic colonic polyp detection

Zafer Aydin, Bulent Yilmaz, Rukiye Nur Kacmaz, 2020, Int. J. Imaging Syst. Technol..

IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction

Mostafa Sabzekar, Z. Aydın, Yasin Görmez, 2021, Proteins.

Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure

Jeff A. Bilmes, Zafer Aydin, William Stafford Noble, 2011, BMC Bioinformatics.

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

Robert M. Vogel, Ricardo Henao, K. Y. Yeung, 2018, bioRxiv.

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

Thomas Yu, Ka Yee Yeung, Maria K. Jaakkola, 2018, Nature Communications.

A review of mammographic region of interest classification

Zafer Aydin, Kasim Tasdemir, Sena Busra Yengec Tasdemir, 2020, WIREs Data Mining Knowl. Discov..

Template Scoring Methods for Protein Torsion Angle Prediction

Zafer Aydin, David Baker, William Stafford Noble, 2015, BIOSTEC.

Developing structural profile matrices for protein secondary structure and solvent accessibility prediction

Zafer Aydin, Mete Celik, Nuh Azginoglu, 2019, Bioinform..

IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility

Z. Aydın, Yasin Görmez, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Dimensionality reduction for protein secondary structure and solvent accesibility prediction

Zafer Aydin, Oguz Kaynar, Yasin Gormez, 2018, J. Bioinform. Comput. Biol..

Constructing Structural Profiles for Protein Torsion Angle Prediction

Zafer Aydin, David Baker, William Stafford Noble, 2015, BIOINFORMATICS.

Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo

Zafer Aydin, William Stafford Noble, Robert H. Waterston, 2010, BMC Bioinformatics.

Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity

Yunus Emre Işık, Z. Aydın, 2023, PeerJ.

Sample Reduction Strategies for Protein Secondary Structure Prediction

Zafer Aydin, Mostafa Sabzekar, Hasan Erbay, 2019, Applied Sciences.

Design of a Reconfigurable 5-Fingers Shaped Microstrip Patch Antenna by Artificial Neural Networks

Zafer Aydin, Murat Simsek, Z. Aydın, 2014 .

Bayesian Models and Algorithms for Protein β-Sheet Prediction

Hakan Erdogan, Yücel Altunbasak, Zafer Aydin, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Bayesian Models and Algorithms for Protein Beta-Sheet Prediction

Hakan Erdogan, Zafer Aydin, Hakan Erdogan, 2008 .

Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo

William Stafford Noble, R. Waterston, J. Murray, 2010, BMC Bioinformatics.