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Methods for Utilizing Co-expression Networks for Biological Insight
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Guidici, Teal. |
| 단체저자명 | University of Michigan. Statistics. |
| 서명/저자사항 | Methods for Utilizing Co-expression Networks for Biological Insight. |
| 발행사항 | [S.l.] : University of Michigan., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 156 p. |
| 소장본 주기 | School code: 0127. |
| ISBN | 9780438126626 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Charles Burant |
| 요약 | The explosion of high-throughput Omics assays in past 15 years has led to a revolution in the quantity of data and the number of data types which are available to biological researchers. This has necessitated a second revolution in the developme |
| 요약 | The primary goal of this dissertation is to develop techniques for identifying and characterizing patterns of co-expression. In our first project, we develop a Differentially Weighted Factor Model for estimating covariance matrices related throu |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000554 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025196 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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