Identification of column edges of DNA fragments by using K-means clustering and mean algorithm on lane histograms of DNA agarose gel electrophoresis images

Basit Öğe Kaydı
dc.authoridElen, Abdullah/0000-0003-1644-0476
dc.contributor.authorTuran, Muhammed Kamil
dc.contributor.authorSehirli, Eftal
dc.contributor.authorElen, Abdullah
dc.contributor.authorKaras, Ismail Rakip
dc.date.accessioned2024-09-29T16:04:43Z
dc.date.available2024-09-29T16:04:43Z
dc.date.issued2015
dc.departmentKarabük Üniversitesien_US
dc.description7th International Conference on Digital Image Processing (ICDIP) -- APR 09-10, 2015 -- Los Angeles, CAen_US
dc.description.abstractGel electrophoresis (GE) is one of the most used method to separate DNA, RNA, protein molecules according to size, weight and quantity parameters in many areas such as genetics, molecular biology, biochemistry, microbiology. The main way to separate each molecule is to find borders of each molecule fragment. This paper presents a software application that show columns edges of DNA fragments in 3 steps. In the first step the application obtains lane histograms of agarose gel electrophoresis images by doing projection based on x-axis. In the second step, it utilizes k-means clustering algorithm to classify point values of lane histogram such as left side values, right side values and undesired values. In the third step, column edges of DNA fragments is shown by using mean algorithm and mathematical processes to separate DNA fragments from the background in a fully automated way. In addition to this, the application presents locations of DNA fragments and how many DNA fragments exist on images captured by a scientific camera.en_US
dc.description.sponsorshipWuhan Univ,Int Assoc Comp Sci & Informat Technol,Nanyang Technol Univen_US
dc.identifier.doi10.1117/12.2197221
dc.identifier.isbn978-1-62841-829-3
dc.identifier.issn0277-786X
dc.identifier.scopus2-s2.0-84946051549en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1117/12.2197221
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6290
dc.identifier.volume9631en_US
dc.identifier.wosWOS:000360230700035en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpie-Int Soc Optical Engineeringen_US
dc.relation.ispartofSeventh International Conference On Digital Image Processing (Icdip 2015)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLane histogramen_US
dc.subjectk-means clustering algorithmen_US
dc.subjectmean algorithmen_US
dc.subjectDNA fragmentsen_US
dc.titleIdentification of column edges of DNA fragments by using K-means clustering and mean algorithm on lane histograms of DNA agarose gel electrophoresis imagesen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu