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Statistical Methods for High-dimensional Genetic and Genomic Data
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Wu, Chong. |
| 단체저자명 | University of Minnesota. Biostatistics. |
| 서명/저자사항 | Statistical Methods for High-dimensional Genetic and Genomic Data. |
| 발행사항 | [S.l.] : University of Minnesota., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 123 p. |
| 소장본 주기 | School code: 0130. |
| ISBN | 9780438350939 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Weihua Guan |
| 요약 | Modern genetics research constantly creates new types of high-dimensional genetic and genomic data and imposes new challenges in analyzing these data. This thesis deals with several important problems in analyzing high-dimensional genetic and ge |
| 요약 | First, we introduce a site selection and multiple imputation method to impute missing data in covariates in epigenome-wide analysis of DNA methylation data, which can help us adjust potential confounders, such as cell type composition. Second, t |
| 일반주제명 | Statistics. Genetics. Bioinformatics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998813 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026116 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
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