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Detection of pancreatic cancer biomarkers using mass spectrometry
질량 분석법을 활용한 췌장암 바이오마커에 대한 연구

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Authors
김기연
Advisor
장원철
Major
자연과학대학 통계학과
Issue Date
2015-02
Publisher
서울대학교 대학원
Keywords
biomarkerclassificationmissing valuespancreatic cancermass spectrometry
Description
학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2015. 2. 장원철.
Abstract
Mass spectrometry (MS) data analysis has been utilized to detect biomark- ers for early cancer detection. In this research, the aim of analysis was to search biomarkers for pancreatic cancer that is a highly lethal malignancy and the fourth leading cause of cancer-related deaths. With the biomarkers detected in this study, we could improve the prognosis and survivals of pancreatic cancer patients.
MS data analysis typically consisted of three steps: preprocessing, clas- sification, and variable selection. The results of preprocessing were usually non-fully populated data structure, so it was essential to substitute missing values for further advanced statistical inference. We used three methods to address missing issues.
We used four classification methods to discriminate the case and control group. Based on the prediction error, we compared the results of classification methods. We concluded that Peak Probability Contrast (PPC) method with bagging and random forest outperformed the others. Based on the variable importance measure in bagging and random forest, we selected the m/z 1,206, 1,465 as biomarkers for pancreatic cancer.
Language
English
URI
http://hdl.handle.net/10371/131301
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College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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