Mitochondria associated markers in obese phenotype inferred from adipose tissue gene expression data = 지방 조직 전사체 데이터 기반 미토콘드리아 연관 세포 표현형 마커 발굴

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Mitochondrial dysfunction was implicated in a diverse set of diseases such as cancer, neurodegenerative disease, cardiovascular disease and metabolic disease. Prior research showed that mitochondria may play a role in onset of obesity or obesity related metabolic complications. I have used three different analysis methods - differential gene expression analysis, differential gene gene correlation and co-expression network based analysis, in order to elucidate possible mechanism connecting mitochondrial function and obesity and to identify mitochondria related obesity markers. This resulted in a set of potential disease markers, which were further tested for their ability to differentiate between obese and non-obese samples by training a random forest classifier and testing it on an independent testing data set. The result of this analysis is a list of 25 mitochondria associated genes showing high importance in obese sample classification, along with a list of 80 genes identified as significant by more than one type of analysis and may therefore represent potential mitochondria associated obesity markers.
Advisors
Yi, Gwan Suresearcher이관수researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2017.8,[iv, 31 p. :]

Keywords

Differential gene expression analysis▼adifferential gene-gene correlation▼anetwork analysis▼aclassification▼aobesity▼amitochondrial dysfunction; 차별 유전자 발현 분석▼a차별 유전자 - 유전자 상관 분석▼a네트워크 분석▼a분류▼a비만▼a미토콘드리아 기능 장애

URI
http://hdl.handle.net/10203/242998
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=718589&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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