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

DC Field Value Language
dc.contributor.advisor장원철-
dc.contributor.author김기연-
dc.date.accessioned2017-07-19T08:45:51Z-
dc.date.available2017-07-19T08:45:51Z-
dc.date.issued2015-02-
dc.identifier.other000000026205-
dc.identifier.urihttp://hdl.handle.net/10371/131301-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2015. 2. 장원철.-
dc.description.abstractMass 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.
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dc.description.tableofcontents1 Introduction 1
2 Material and Methods 4
2.1 Experimental protocol and data description 4
2.2 Preprocessing 6
2.2.1 Transformation 8
2.2.2 Smoothing and Baseline subtraction 8
2.2.3 Normalization 9
2.2.4 Peak detection 11
2.2.5 Peak alignment 12
2.3 Missing value in mass spectrometry data 13
2.4 Classification 18
2.5 Software tools 21
3 Results 22
4 Conclusion 30
Abstract in Korean 36
A R code 37
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dc.formatapplication/pdf-
dc.format.extent6296209 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectbiomarker-
dc.subjectclassification-
dc.subjectmissing values-
dc.subjectpancreatic cancer-
dc.subjectmass spectrometry-
dc.subject.ddc519-
dc.titleDetection of pancreatic cancer biomarkers using mass spectrometry-
dc.title.alternative질량 분석법을 활용한 췌장암 바이오마커에 대한 연구-
dc.typeThesis-
dc.contributor.AlternativeAuthorKiyoun Kim-
dc.description.degreeMaster-
dc.citation.pagesii, 65-
dc.contributor.affiliation자연과학대학 통계학과-
dc.date.awarded2015-02-
Appears in Collections:
College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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