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A systematic approach to identify target drugs and variants through drug response modeling using pharmacogenomic data
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 최, 희선 | - |
| dc.date.accessioned | 2023-11-16T05:43:55Z | - |
| dc.date.available | 2023-11-16T05:43:55Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/26837 | - |
| dc.language.iso | ko | - |
| dc.title | A systematic approach to identify target drugs and variants through drug response modeling using pharmacogenomic data | - |
| dc.title.alternative | 약물-암유전체 데이터 기반의 약물 반응 예측 모델링 | - |
| dc.type | Thesis | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000032543 | - |
| dc.subject.keyword | Pharmacogenomic data | - |
| dc.subject.keyword | TCGA | - |
| dc.subject.keyword | 약물-암유전체 통합분석 | - |
| dc.subject.keyword | 약물 반응 모델링 | - |
| dc.subject.keyword | 서열변이 | - |
| dc.description.degree | Master | - |
| dc.contributor.department | 대학원 의생명과학과 | - |
| dc.contributor.affiliatedAuthor | 최, 희선 | - |
| dc.date.awarded | 2023 | - |
| dc.type.local | Theses | - |
| dc.citation.date | 2023 | - |
| dc.embargo.liftdate | 9999-12-31 | - |
| dc.embargo.terms | 9999-12-31 | - |
| dc.description.tableOfContents | 제1장 서론 1
제2장 방법 5 제3장 결과 22 3.1. 약물유전체 데이터베이스 구축 워크플로우 22 3.2. 상관분석을 통한 약물-유전 변이군 발굴 파이프라인 구축 25 3.3. 사례연구 27 제4장 고찰 51 제5장 결론 53 참고 문헌 54 | - |
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- Theses > Graduate School of Biomedical Sciences > Master
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