博碩士論文 952211006 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	系統生物與生物資訊研究所	zh_TW
DC.creator	紀永鑫	zh_TW
DC.creator	Yung-Hsin Chi	en_US
dc.date.accessioned	2008-7-15T07:39:07Z
dc.date.available	2008-7-15T07:39:07Z
dc.date.issued	2008
dc.identifier.uri	http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=952211006
dc.contributor.department	系統生物與生物資訊研究所	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	基因表現的分析對於探索人類疾病的發生與機制一直以來都是一項很有用的工具。許多現有的分析工具針對生物調控網路分析基因表現的資料，但很少有工具探討生物調控網路上面基因組之間的相依關係。我們提出了一個新的方法，可以利用公開的基因表現資料庫所取得的人類疾病資料，來探討生物調控網路上不同交互關係的基因組之間的相依程度。差異表現的基因組可以容易且有效率的在我們的系統上被找到。我們的資料也證實了生物調控網路上基因組之間的相依關係。同時，我們的系統為研究人員提供了一個快速且容易理解的視覺化環境，可以方便的找出生物調控網路與高通量資料之間的關聯性。	zh_TW
dc.description.abstract	Gene expression analysis has been an useful tool for discovering the formation and mechanism of human diseases. Many existing tools analyze gene expression data on biological pathways. But seldom of them discover the correlation of gene pairs on the pathways. We propose a new approach for discovering the correlation between all interactions of gene pairs in a pathway using gene expression profiles acquired from public domain databases related to human diseases. Differentially expressed gene pairs can easily and efficiently found on our system. The results of our data confirm the correlation between gene pairs in the pathways. Our system also provides a prompt visualization and insight into finding the connections between high-throughput data and pathway relations for researchers.	en_US
DC.subject	生物調控網路	zh_TW
DC.subject	生物晶片	zh_TW
DC.subject	microarray	en_US
DC.subject	pathway	en_US
DC.title	人類疾病差異表現基因與調控網路之整合系統	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Linking Path: A web-based viewer linking pathways to differentially expressed genes of human disease	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US