Yazar "Gormez, Yasin" için listeleme
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Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin; Isik, Yunus Emre (IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Protein yapı tahmininin en önemli aşamalarından biri ise ikincil yapı tahminidir. Protein veritabanlarındaki ... -
Comparison of NR and UniClust Databases for Protein Secondary Structure Prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin (IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Üç boyutlu yapı tahminin en önemli aşamalarından biri ise ikincil yapı tahminidir. İkincil yapı ... -
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Aydin, Zafer; Sieberts, Solveig K.; Schaff, Jennifer; Duda, Marlena; Pataki, Balint Armin; Sun, Ming; Snyder, Phil; Daneault, Jean-Francois; Parisi, Federico; Costante, Gianluca; Rubin, Udi; Banda, Peter; Chae, Yooree; Chaibub Neto, Elias; Dorsey, E. Ray; Chen, Aipeng; Elo, Laura L.; Espino, Carlos; Glaab, Enrico; Goan, Ethan; Golabchi, Fatemeh Noushin; Gormez, Yasin; Jaakkola, Maria K.; Jonnagaddala, Jitendra; Klen, Riku; Li, Dongmei; McDaniel, Christian; Perrin, Dimitri; Perumal, Thanneer M.; Rad, Nastaran Mohammadian; Rainaldi, Erin; Sapienza, Stefano; Schwab, Patrick; Shokhirev, Nikolai; Venalainen, Mikko S.; Vergara-Diaz, Gloria; Zhang, Yuqian; Wang, Yuanjia; Guan, Yuanfang; Brunner, Daniela; Bonato, Paolo; Mangravite, Lara M.; Omberg, Larsson (NATURE RESEARCHHEIDELBERGER PLATZ 3, BERLIN 14197, GERMANY, 2021)Consumer wearables and sensors are a rich source of data about patients' daily disease and symptom burden, particularly in the case of movement disorders like Parkinson's disease (PD). However, interpreting these complex ... -
A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks
Gormez, Yasin; Aydin, Zafer; Karademir, Ramazan; Gungor, Vehbi C. (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2020)Detecting malicious behavior is important for preventing security threats in a computer network. Denial of Service (DoS) is among the popular cyber attacks targeted at web sites of high-profile organizations and can ... -
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease
Isik, Yunus EMRE; Gormez, Yasin; Aydin, Zafer; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2021)Behçet's Disease (BD) is a multi-system inflammatory disorder in which the etiology remains unclear. The most probable hypothesis is that genetic tendency and environmental factors play roles in the development of BD. In ... -
Dimensionality reduction for protein secondary structure and solvent accesibility prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin (IMPERIAL COLLEGE PRESS, 57 SHELTON ST, COVENT GARDEN, LONDON WC2H 9HE, ENGLAND, 2018)Secondary structure and solvent accessibility prediction provide valuable information for estimating the three dimensional structure of a protein. As new feature extraction methods are developed the dimensionality of the ... -
Feature Selection for Protein Dihedral Angle Prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Three-dimensional structure prediction has crucial importance for bioinformatics and theoretical chemistry. One of the main steps of three-dimensional structure prediction is dihedral (torsion) angle prediction. As new ... -
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
Gormez, Yasin; Isik, Yunus Emre; Bakir-Gungor, Burcu (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ... -
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
Gormez, Yasin; Aydin, Zafer (IEEE COMPUTER SOC, 2023)Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ... -
IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction
Gormez, Yasin; Sabzekar, Mostafa; Aydin, Zafer (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2021)There is a close relationship between the tertiary structure and the function of a protein. One of the important steps to determine the tertiary structure is protein secondary structure prediction (PSSP). For this reason, ... -
Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilli
Kesmen, Zulal; Kilic, Ozge; Gormez, Yasin; Celik, Mete; Bakir-Gungor, Burcu (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)The accurate identification of lactobacilli is essential for the effective management of industrial practices associated with lactobacilli strains, such as the production of fermented foods or probiotic supplements. For ... -
NSEM: Novel Stacked Ensemble Method for Sentiment Analysis
Emre Isik, Yunus; Gormez, Yasin; Kaynar, Oguz; Aydin, Zafer (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Today, people often share their ideas, opinions and feelings through forums, social media sites, blogs and similar platforms. For this reason, access to these data has become very easy. Increase in the number of shares ...
