BOOSTING THE PERFORMANCE OF PSEUDO AMINO ACID COMPOSITION

dc.contributor.authorGoktepe, Yunus Emre
dc.contributor.authorIlhan, Ilhan
dc.contributor.authorKahramanli, Sirzat
dc.date.accessioned2020-03-26T18:13:53Z
dc.date.available2020-03-26T18:13:53Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description3rd International Conference on Future Computer and Communication (ICFCC 2011) -- JUN 03-05, 2011 -- G Enescu Univ Arts, Iasi, ROMANIAen_US
dc.description.abstractProtein-protein interactions are critical in coordinating various cellular processes. They help understanding protein function and drug design. Extracting protein features from amino acid sequences is important in order to study protein-protein interactions. Various feature extraction approaches for proteins have been introduced up to the present. PseAAC is one of the most used protein feature extractor. In this work we purpose a new approach to calculate amino acid composition values. The purpose of our method is to adjust the weights of the composition values during feature extraction process. It means that bigger composition values will contribute more to prediction function than smaller ones. Our experimental results showed that our method outperformed PseAAC.en_US
dc.description.sponsorshipIACSIT, Huazhong Normal Univ, Univ Putra Malaysiaen_US
dc.identifier.endpage64en_US
dc.identifier.isbn978-0-7918-5971-1
dc.identifier.startpage59en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26204
dc.identifier.wosWOS:000320410200009en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAMER SOC MECHANICAL ENGINEERSen_US
dc.relation.ispartofPROCEEDINGS OF THE 2011 3RD INTERNATIONAL CONFERENCE ON FUTURE COMPUTER AND COMMUNICATION (ICFCC 2011)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectProtein-protein interactions (ppis)en_US
dc.subjectPseudo amino acid composition (PseAAC)en_US
dc.subjectSupport vector machine (SVM)en_US
dc.titleBOOSTING THE PERFORMANCE OF PSEUDO AMINO ACID COMPOSITIONen_US
dc.typeConference Objecten_US

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