Increasing the prediction accuracy of PseAAC in protein-protein interactions

dc.contributor.authorGöktepe Y.E.
dc.contributor.authorILhan I.
dc.contributor.authorElitok E.
dc.contributor.authorKahramanli S.
dc.date.accessioned2020-03-26T18:22:15Z
dc.date.available2020-03-26T18:22:15Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 -- 24 July 2011 through 26 July 2011 -- Rome -- 91770en_US
dc.description.abstractPrediction of protein-protein interactions is an important problem in biology. They are critical in coordinating various cellular processes and help understanding protein function and drug design. Extracting protein features from amino acid sequences is important in order to study protein-protein interactions. A number of feature extraction approaches for proteins have been introduced up to the present. PseAAC is one of the most used protein feature extractor. In this paper we modulated calculation steps of PSEAAC for extracting amino acid compositions and proposed a new method. The aim of our method is to adjust the weights of the composition values during feature extracting process. This means that bigger composition values will contribute to the classification process more than smaller ones. Our experimental results showed that our approach outperformed PseAAC and other methods listed in literature. © 2011 IADIS.en_US
dc.identifier.endpage174en_US
dc.identifier.isbn9.78973E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage169en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27247
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectProtein-protein interactionsen_US
dc.subjectPseudo amino acid compositionen_US
dc.subjectSupport vector machine (SVM)en_US
dc.titleIncreasing the prediction accuracy of PseAAC in protein-protein interactionsen_US
dc.typeConference Objecten_US

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