자료유형 | E-Book |
---|---|
개인저자 | Al-Asadi, Hussein. |
단체저자명 | The University of Chicago. Evolutionary Biology. |
서명/저자사항 | Statistical Methods for Genetic Data. |
발행사항 | [S.l.] : The University of Chicago., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 139 p. |
소장본 주기 | School code: 0330. |
ISBN | 9780438370609 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Matthew Stephens |
요약 | Statistical methods have proven to be fundamental in the analyses of genetic data and have been used as a means to arrive at many novel biological discoveries |
요약 | Trees connect all biological organisms on earth. At the most basic level, individuals within a population are related through a genealogical tree. These trees are influenced by population level parameters and can be characterized using coalescen |
요약 | However, many methods in statistical genetics do not assume an underlying tree, such as methods based on "Admixture'' models. In my third project, an Admixture model is used to model mismatches from sequencing reads in ancient DNA. Unlike tree m |
일반주제명 | Genetics. Statistics. Biology. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999615 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00025462 | DP 575 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |