An Age dynamic network for human phenotypes and disease prevalence

碩士 === 國立中央大學 === 生物資訊與系統生物研究所 === 97 === Social networks have been investigated on genetic, proteomic, and metabolic fields as a viable path toward elucidating the origins of specific diseases. Here we use epidemiology view to summarizing correlations obtained from hospital dataset in an age dynami...

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Main Authors: Pei-Wen Wang, 王佩文
Other Authors: Li-Ching Wu
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/41604361447045141704
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spelling ndltd-TW-097NCU051120062015-11-16T16:08:55Z http://ndltd.ncl.edu.tw/handle/41604361447045141704 An Age dynamic network for human phenotypes and disease prevalence 從年齡動態網路探討疾病表現與疾病盛行率 Pei-Wen Wang 王佩文 碩士 國立中央大學 生物資訊與系統生物研究所 97 Social networks have been investigated on genetic, proteomic, and metabolic fields as a viable path toward elucidating the origins of specific diseases. Here we use epidemiology view to summarizing correlations obtained from hospital dataset in an age dynamic phenotypic disease network (ADPDN). We show the evidence that the progression of disease connect by the links of the network is different for patients according to age and genders. Our study show that human phenotypes and disease prevalence can be demonstrated and by using network analysis, facilitating the potential to enhance our understanding of the origin and evolution of human diseases. Li-Ching Wu 吳立青 2009 學位論文 ; thesis 43 en_US
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description 碩士 === 國立中央大學 === 生物資訊與系統生物研究所 === 97 === Social networks have been investigated on genetic, proteomic, and metabolic fields as a viable path toward elucidating the origins of specific diseases. Here we use epidemiology view to summarizing correlations obtained from hospital dataset in an age dynamic phenotypic disease network (ADPDN). We show the evidence that the progression of disease connect by the links of the network is different for patients according to age and genders. Our study show that human phenotypes and disease prevalence can be demonstrated and by using network analysis, facilitating the potential to enhance our understanding of the origin and evolution of human diseases.
author2 Li-Ching Wu
author_facet Li-Ching Wu
Pei-Wen Wang
王佩文
author Pei-Wen Wang
王佩文
spellingShingle Pei-Wen Wang
王佩文
An Age dynamic network for human phenotypes and disease prevalence
author_sort Pei-Wen Wang
title An Age dynamic network for human phenotypes and disease prevalence
title_short An Age dynamic network for human phenotypes and disease prevalence
title_full An Age dynamic network for human phenotypes and disease prevalence
title_fullStr An Age dynamic network for human phenotypes and disease prevalence
title_full_unstemmed An Age dynamic network for human phenotypes and disease prevalence
title_sort age dynamic network for human phenotypes and disease prevalence
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/41604361447045141704
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