Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1175
Title: Social network Analysis-based classifier (SNAc): A case study on time course gene expression data
Authors: Üçer, Serkan
Koçak, Yunuscan
Özyer, Tansel
Alhajj, Reda
143116
Keywords: Genomic İnteractions
Social Network Analysis
Social Network Classifier
Gene Expression Data
Issue Date: Oct-2017
Publisher: Elsevier Ireland Ltd.
Source: Üçer, S., Kocak, Y., Ozyer, T., & Alhajj, R. (2017). Social network Analysis-based classifier (SNAc): A case study on time course gene expression data. Computer methods and programs in biomedicine, 150, 73-84.
Abstract: Background and objectives: Social Network Analysis is an attractive approach to model and analyze complex networks. In recent years, several bioinformatics related networks have been modeled and analyzed thoroughly using social network analysis. The objective of this study is to build a social network analysis based classifier for time sequential data. Methods: In this work, we model a genomic time sequential data as a 'social' network of interactions. We define interactions as similarity of patients' measurements. Using this 'genomic social network', we develop a classification model called Social Network Analysis-based Classifier. Results: We conducted some experiments to demonstrate how the developed Social Network Analysis-based Classifier outperforms traditional classifiers by effectively classifying a time sequential genomic dataset. Best achieved accuracy is 64.51% and best f-measure is 78.34%. Conclusions: Our study emphasized Social Network Analysis-based Classifier Model as a powerful technique for analyzing a time sequential dataset. Eventually, the plan is to develop and evolve the Social Network Analysis-based Classifier model into a general classifier. (C) 2017 Published by Elsevier Ireland Ltd.
URI: https://www.sciencedirect.com/science/article/pii/S0169260717302225?via%3Dihub
https://hdl.handle.net/20.500.11851/1175
ISSN: 0169-2607
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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