Investigating the roles of micrornas / lncrnas in characterizing breast cancer subtypes and prognosis

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dc.authorid0000-0003-1712-1581
dc.authorid0009-0001-8153-9424
dc.authorid0009-0009-1106-1507
dc.authorid0000-0001-6657-9738
dc.contributor.authorPek, Reyhan Zeynep
dc.contributor.authorZavalsız, Muhammed Talha
dc.contributor.authorSerdar, Melis
dc.contributor.authorAlhajj, Lama
dc.contributor.authorAlhajj, Sleiman
dc.contributor.authorSailunaz, Kashfia
dc.contributor.authorÖzyer, Tansel
dc.contributor.authorRokne, Jon
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2024-05-21T09:40:25Z
dc.date.available2024-05-21T09:40:25Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü
dc.description.abstractMolecular subtyping is a method of separating tumor clusters in a cancer type with common features according to molecular data and classification models. Genome datasets are taken from many different people and some genetic material, more precisely genetic markers, are obtained to predict the presence of a disease. In addition, breast cancer occurs due to mutation or modification observed in cells. miRNAs and lncRNAs take participation in cell cycle, regulation, and even chromatic inhibition of cell. For example, miRNAs function in cell cycle regulation as the degradation of mRNAs. Therefore, the aim of this work is to investigate the roles of miRNAs and lncRNAs in prognosis and characterizing the subtypes of Breast Cancer.
dc.description.sponsorshipACM SIGKDD. Association for Computing Machinery (ACM). et al. IEEE. IEEE Computer Society. IEEE TCDE.en_US
dc.identifier.citationPek, R. Z., Zavalsız, M. T., Serdar, M., Alhajj, L., Alhajj, S., Sailunaz, K. ... Alhajj, R. (2023). Investigating the roles of micrornas / lncrnas in characterizing breast cancer subtypes and prognosis. 15th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM içinde (588-595. ss.). November 6-9, 2023. http://dx.doi.org/10.1145/3625007.3627340
dc.identifier.doi10.1145/3625007.3627340
dc.identifier.endpage595
dc.identifier.isbn9798400704093
dc.identifier.issn2473-9928
dc.identifier.issn2473-991X
dc.identifier.scopus2-s2.0-85190627742
dc.identifier.scopusqualityN/A
dc.identifier.startpage588
dc.identifier.urihttp://dx.doi.org/10.1145/3625007.3627340
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12485
dc.identifier.wos001191293500094en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorPek, Reyhan Zeynep
dc.institutionauthorZavalsız, Muhammed Talha
dc.institutionauthorSerdar, Melis
dc.institutionauthorAlhajj, Lama
dc.institutionauthorAlhajj, Sleiman
dc.institutionauthorAlhajj, Reda
dc.language.isoen
dc.relation.ispartof15th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAMen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsAttribution International 4.0*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAdaboost
dc.subjectBreast Cancer
dc.subjectDT
dc.subjectKNN
dc.subjectLncrna
dc.subjectLR
dc.subjectMachine Learning Models
dc.subjectMirna
dc.subjectMLP
dc.subjectNB
dc.subjectPython
dc.subjectRF
dc.subjectSGD
dc.subjectSubtyping
dc.subjectSVM
dc.titleInvestigating the roles of micrornas / lncrnas in characterizing breast cancer subtypes and prognosis
dc.typeConference Object

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