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A Data Fusion Approach in Protein Homology Detection

dc.contributor.author Sever, H.
dc.contributor.author Polatkan, A.C.
dc.contributor.author Oǧul, H.
dc.date.accessioned 2020-04-27T21:05:32Z
dc.date.accessioned 2025-09-18T16:08:19Z
dc.date.available 2020-04-27T21:05:32Z
dc.date.available 2025-09-18T16:08:19Z
dc.date.issued 2008
dc.description IARIA en_US
dc.description.abstract The discriminative framework for protein remote homology detection based on support vector machines (SVMs) is reconstructed by the fusion of sequence based features. In this respect, n-peptide compositions are partitioned and fed into separate SVMs. The SVM outputs are evaluated with different techniques and tested to discern their ability for SCOP protein super family classification on a common benchmarking set. It reveals that the fusion approach leads to an improvement in prediction accuracy with a remarkable gain on computer memory usage. © 2008 IEEE. en_US
dc.identifier.citation Sever, Hayri; Polatkan, Aydin Can; Ogul, Hasan, "A Data Fusion Approach In Protein Homology Detection", Proceedings - International Conference On Biocomputation, Bioinformatics, and Biomedical Technologies, Bıotechno 2008, pp. 7-12, (2008). en_US
dc.identifier.doi 10.1109/BIOTECHNO.2008.23
dc.identifier.isbn 9780769531915
dc.identifier.scopus 2-s2.0-52249124367
dc.identifier.uri https://doi.org/10.1109/BIOTECHNO.2008.23
dc.identifier.uri https://hdl.handle.net/20.500.12416/15026
dc.language.iso en en_US
dc.relation.ispartof Proceedings - International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008 -- International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008 -- 29 June 2008 through 5 July 2008 -- Bucharest -- 73451 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title A Data Fusion Approach in Protein Homology Detection en_US
dc.title A Data Fusion Approach In Protein Homology Detection tr_TR
dc.type Conference Object en_US
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gdc.description.department Çankaya University en_US
gdc.description.departmenttemp Polatkan A.C., Wilhelm-Schickard-Institute, Universität Tübingen, Department of Computer Engineering, Baskent University; Oǧul H., Department of Computer Engineering, Baskent University; Sever H., Department of Computer Engineering, Cankaya University en_US
gdc.description.endpage 12 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 7 en_US
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gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 0303 health sciences
gdc.oaire.sciencefields 03 medical and health sciences
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gdc.virtual.author Sever, Hayri
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