Identifying context specific transcriptional regulation in complex diseases = 복합질병에서의 상황 특이적인 전사조절 연구

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Translation of Genome-wide expression into biological meaningful data is still challenging. Recent efforts have interpreted microarray data by using prior knowledge such as pathways. Even though pathway based gene expression analysis is widely used, all pathway level analysis methods utilize conventional pathways. However, it is not a proper to interpret microarray using conventional pathways, since conventional pathways consist of various interactions of signalling proteins and regulatory molecules. Therefore, we propose a new concept of pathways, Transcriptional Regulation Pathways (TRP), specifically design to capture the context specific transcriptional regulations for pathway level analysis in disease expression profiles. TRP consists of two parts, TF target genes and subset of pathway genes. Among TF target genes in database, we choose target genes whose expression correlates with TF by ARACNe which utilizes MI (Mutual Information). We select pathway member genes transcribed by TF in other pathways. Among those genes, we choose genes verified by ARACNe and Mapper algorithm which computationally searches for binding sites in promoter regions. We use Tian’s method for pathway level analysis. The results from Tian’s method provide that TRP shows better performance than normal pathways in the classification of Type 2 Diabetes and Lung cancer expression profiling. Our new proposed concept utilizes the trait of gene expression profiling so that it gives disease phenotype related pathways in pathway level analysis and good performance in cancer classification.
Advisors
Lee, Do-Heonresearcher이도헌researcher
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2009
Identifier
308643/325007  / 020073537
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2009.2, [ vi, 30 p. ]

Keywords

Microarray; Pathway; diseases; Transcription; 마이크로어레이; 경로; 질병; 전사; Microarray; Pathway; diseases; Transcription; 마이크로어레이; 경로; 질병; 전사

URI
http://hdl.handle.net/10203/27173
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=308643&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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