자료유형 | E-Book |
---|---|
개인저자 | Drill, Esther. |
단체저자명 | Columbia University. Biostatistics. |
서명/저자사항 | Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model. |
발행사항 | [S.l.] : Columbia University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 116 p. |
소장본 주기 | School code: 0054. |
ISBN | 9780438261792 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Yuanjia Wang |
요약 | Inspired by the TCGA (The Cancer Genome Atlas), we explore multimodal genomic datasets with integrative methods using a joint latent variable approach. We use iCluster+, an existing clustering method for integrative data, to identify potential s |
일반주제명 | Biostatistics. Statistics. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999563 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00025410 | DP 574 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |