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정보화이론의 엔트로피를 이용한 단일염기다형성 상호작용분석
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 신기섭 | - |
| dc.date.accessioned | 2018-11-08T08:03:31Z | - |
| dc.date.available | 2018-11-08T08:03:31Z | - |
| dc.date.issued | 2011-08 | - |
| dc.identifier.other | 11749 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/9949 | - |
| dc.description | 학위논문(박사)아주대학교 일반대학원 :수학과,2011. 8 | - |
| dc.description.tableofcontents | Chapter 1. Introduction 1 Chapter 2. Backgrounds from Information Theory 3 2.1 Normalized Mutual Information 3 2.2 Entropy Distance 6 Chapter 3. Cluster analysis 9 3.1 Hierarchical Clustering 9 3.2 Traditional Linkage Algorithms 10 3.3 Time and Space Complexity 14 Chapter 4. Some Tools from Learning Machines 16 4.1 Cross Validation 16 4.2 Multifactor Dimensionality Reduction 17 4.3 Support Vector Machines 17 4.4 Prediction Accuracy 22 Chapter 5. Applications to SNP Association Study 24 5.1 Analysis of Asthma Related SNP Genotype Data Using Normalized Mutual Information and Support Vector Machines 24 5.2 Cluster Analysis of SNPs with Entropy Distance and Prediction of Asthma Type Using SVM 31 Bibliography 38 Appendix 42 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 정보화이론의 엔트로피를 이용한 단일염기다형성 상호작용분석 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 수학과 | - |
| dc.date.awarded | 2011. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 569686 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000011749 | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Mathematics > 3. Theses(Master)
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