The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective

Web and mobile platforms have provided an environment of technical cooperation through technical development and the diffusion of related devices. Large-scale data sets have been available to analyze web interaction and data analysis. Particularly, large-scale data make us learn new patterns and ins...

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Main Authors: Jaewon Choi, Hyuk-Jun Kwon
Format: Article
Language:English
Published: Wiley 2015-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/736569
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author Jaewon Choi
Hyuk-Jun Kwon
author_facet Jaewon Choi
Hyuk-Jun Kwon
author_sort Jaewon Choi
collection DOAJ
description Web and mobile platforms have provided an environment of technical cooperation through technical development and the diffusion of related devices. Large-scale data sets have been available to analyze web interaction and data analysis. Particularly, large-scale data make us learn new patterns and insight into several research fields. For healthcare field, most chronic diseases are caused by environmental and genetic factors (Van der Laan et al., 2003). The relationship between environmental exposure and gene factors is crucial regarding disease etiology (Swift et al., 2004). For example, Tobacco is considered one of the biggest environmental factors responsible for many diseases each year. Schwartz and Collins (2007) discussed the importance of gene and environment factor correlation in human diseases. Thomas (2010) published a review of different approaches on gene-environment association studies attempting to explain some of the most complex diseases. Although previous studies have studied chronicle diseases with their causes one by one, those studies do not show integrated relationships between various diseases and their related human genes. Therefore, this study investigates the gene-disease relationships which are affected by tobacco and is able to find new association links with social network analysis and other mining techniques.
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spelling doaj-art-eb7f30dbfa7649c3bb5f27ac61d64f832025-08-20T03:06:21ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-09-011110.1155/2015/736569736569The Information Filtering of Gene Network for Chronic Diseases: Social Network PerspectiveJaewon Choi0Hyuk-Jun Kwon1 Department of Business Administration, Soonchunhyang University, 22 Soonchunhyang-ro, Shinchang-Myeon, Asan, Chungnam 336-745, Republic of Korea School of Business, Sungkyunkwan University, Humanities and Social Science Campus, 25-2 Sungkyunkwan-ro, Jongno-Gu, Seoul, Republic of KoreaWeb and mobile platforms have provided an environment of technical cooperation through technical development and the diffusion of related devices. Large-scale data sets have been available to analyze web interaction and data analysis. Particularly, large-scale data make us learn new patterns and insight into several research fields. For healthcare field, most chronic diseases are caused by environmental and genetic factors (Van der Laan et al., 2003). The relationship between environmental exposure and gene factors is crucial regarding disease etiology (Swift et al., 2004). For example, Tobacco is considered one of the biggest environmental factors responsible for many diseases each year. Schwartz and Collins (2007) discussed the importance of gene and environment factor correlation in human diseases. Thomas (2010) published a review of different approaches on gene-environment association studies attempting to explain some of the most complex diseases. Although previous studies have studied chronicle diseases with their causes one by one, those studies do not show integrated relationships between various diseases and their related human genes. Therefore, this study investigates the gene-disease relationships which are affected by tobacco and is able to find new association links with social network analysis and other mining techniques.https://doi.org/10.1155/2015/736569
spellingShingle Jaewon Choi
Hyuk-Jun Kwon
The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective
International Journal of Distributed Sensor Networks
title The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective
title_full The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective
title_fullStr The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective
title_full_unstemmed The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective
title_short The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective
title_sort information filtering of gene network for chronic diseases social network perspective
url https://doi.org/10.1155/2015/736569
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