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Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity

IEEE access, 2019, Vol.7, p.49756-49764

2019

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Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.3445-3448

2016

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The quantitative prediction of HLA-B2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015-01, Vol.2015, p.7651-7654

2015

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Support vector-based Takagi-Sugeno fuzzy system for the prediction of binding affinity of peptides

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.4062-4065

2013

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Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.3072-3075

2016

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Support vector-based fuzzy system for the prediction of mouse class I MHC peptide binding affinity

13th IEEE International Conference on BioInformatics and BioEngineering, 2013, p.1-4

2013

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Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015-08, Vol.2015, p.8173-8176

2015

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A support vector-based interval type-2 fuzzy system

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014, p.2396-2401

2014

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A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, p.003770-003775

2016

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Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE), 2015, p.1-4

2015

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Quantum dot emitters integrated with smart peptides

2009 IEEE LEOS Annual Meeting Conference Proceedings, 2009, p.88-89

2009

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Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity

Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression

The quantitative prediction of HLA-B2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies

Support vector-based Takagi-Sugeno fuzzy system for the prediction of binding affinity of peptides

Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions

Support vector-based fuzzy system for the prediction of mouse class I MHC peptide binding affinity

Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity

A support vector-based interval type-2 fuzzy system

A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines

Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines

Quantum dot emitters integrated with smart peptides

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