Predicting the localization of extracellular matrix proteins using characteristic sequence repeats = 특징적인 서열 반복을 이용한 세포 외 기질 단백질 예측

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Subcellular localization problem has been researched to discover genes’ function and discover putative circulating biomarker proteins. Secreted proteins include extracellular matrix proteins which surround cells and influence critical cell behaviors. Extracellular matrix proteins are related to cancer progression and can be a therapeutic target. However, there was no paper to predict extracellular matrix proteins computationally. Introducing new features considering characteristic sequence repeats of extracellular matrix proteins improved the accuracy of prediction. Also 17 distinctive features are found which are robust to classifiers by analyzing feature important values given by random forest. Overall 98 % accuracy was achieved from 5-fold cross validation. Finally 30 novel extracellular matrix proteins are predicted using 17 features.
Advisors
Lee, Kwang-hyungresearcher이광형researcher
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2008
Identifier
296166/325007  / 020064011
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2008.2, [ x, 57 p. ]

Keywords

subcellular localization; extracellular matrix; ecm; prediction; 세포 내 위치; 예측; 세포 외 기질; subcellular localization; extracellular matrix; ecm; prediction; 세포 내 위치; 예측; 세포 외 기질

URI
http://hdl.handle.net/10203/27153
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=296166&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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