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dc.contributor.authorGunter, Pinar
dc.contributor.authorBakir-Gungor, Burcu
dc.date.accessioned2021-04-22T08:15:39Z
dc.date.available2021-04-22T08:15:39Z
dc.date.issued01.01.2019en_US
dc.identifier.isbn978-1-7281-3964-7
dc.identifier.urihttps://hdl.handle.net/20.500.12573/669
dc.description.abstractProtein-protein interaction networks are mathematical representations of the physical contacts between proteins in the cell. A group of interconnected proteins in a protein-protein interaction network that contains most of the disease associated proteins and some interacting other proteins is called an active subnetwork. Active subnetwork search is important to understand mechanisms underlying diseases. Active subnetworks are used to discover disease related regulatory pathways, functional modules and to classify diseases. In the literature there arc many methods to search for active subnetworks. The purpose of this study is to compare the performance of different subnetwork identification methods. By using the Rheumatoid Arthritis dataset, the performances of greedy approach, genetic algorithm, simulated annealing algorithm, prize collecting steiner forest and game theory based subnetwork search methods are compared.en_US
dc.language.isoturen_US
dc.publisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USAen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgame theoretic approachen_US
dc.subjectprize collecting steiner foresten_US
dc.subjectgenetic algorithmen_US
dc.subjectsimulated annealingen_US
dc.subjectgreedy approachen_US
dc.subjectactive moduleen_US
dc.subjectprotein-protein interaction networken_US
dc.titlePerformance Evaluations of Active Subnetwork Search Methods in Protein-Protein Interaction Networksen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.identifier.startpage650en_US
dc.identifier.endpage655en_US
dc.relation.journal2019 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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