Items where Author is "Uslan, Volkan"

Uslan, Volkan, Seker, Huseyin and John, Robert (2019) Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity. IEEE Access, 7. pp. 49756-49764. ISSN 2169-3536

Uslan, Volkan and Seker, Huseyin (2016) Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Piscataway, pp. 3445-3448. ISBN 978-1-4577-0219-8

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2016) Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Piscataway, pp. 3072-3075. ISBN 978-1-4577-0219-8

Uslan, Volkan and Seker, Huseyin (2016) Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression. Applied Soft Computing Journal, 43. pp. 210-221. ISSN 1568-4946

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2016) A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. In: Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 003770-003775. ISBN 9781509018970

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2015) Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines. In: Proceedings of the 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015. IEEE, Piscataway, NJ, pp. 1-4. ISBN 978-146737983-0

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2015) Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). pp. 8173-8176. ISSN 1557-170X

Uslan, Volkan and Seker, Huseyin (2015) The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015 ), 25 - 29 August 2015, Milan.