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Improving Risk Factor Identification of Human Complex Traits in Omics Data
Improving Risk Factor Identification of Human Complex Traits in Omics Data
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798522947910
- DDC
- 574
- 저자명
- Wu, Weimiao.
- 서명/저자
- Improving Risk Factor Identification of Human Complex Traits in Omics Data
- 발행사항
- [Sl] : Yale University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 127 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Wang, Zuoheng.
- 학위논문주기
- Thesis (Ph.D.)--Yale University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Biostatistics
- 일반주제명
- Public health
- 일반주제명
- Therapy
- 일반주제명
- Health care management
- 일반주제명
- Genetics
- 일반주제명
- Research
- 일반주제명
- Population
- 일반주제명
- Datasets
- 일반주제명
- Estimates
- 일반주제명
- Normal distribution
- 일반주제명
- Families & family life
- 일반주제명
- Liability
- 일반주제명
- Data analysis
- 일반주제명
- Genomes
- 일반주제명
- Genomics
- 일반주제명
- Genotype & phenotype
- 일반주제명
- Genes
- 일반주제명
- Sample size
- 일반주제명
- Simulation
- 일반주제명
- Hypotheses
- 일반주제명
- Power
- 일반주제명
- Pandemics
- 일반주제명
- Cocaine
- 일반주제명
- Design
- 일반주제명
- Methods
- 키워드
- Omics data
- 키워드
- Transcriptomics
- 키워드
- Genomics
- 기타저자
- Yale University Public Health in MD/PhD Program
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798522947910
■035 ▼a(MiAaPQ)AAI28319823
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aWu, Weimiao.
■24510▼aImproving Risk Factor Identification of Human Complex Traits in Omics Data
■260 ▼a[Sl]▼bYale University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a127 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Wang, Zuoheng.
■5021 ▼aThesis (Ph.D.)--Yale University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0265.
■650 4▼aBiostatistics
■650 4▼aPublic health
■650 4▼aTherapy
■650 4▼aHealth care management
■650 4▼aGenetics
■650 4▼aResearch
■650 4▼aPopulation
■650 4▼aDatasets
■650 4▼aEstimates
■650 4▼aNormal distribution
■650 4▼aFamilies & family life
■650 4▼aLiability
■650 4▼aData analysis
■650 4▼aGenomes
■650 4▼aGenomics
■650 4▼aGenotype & phenotype
■650 4▼aGenes
■650 4▼aSample size
■650 4▼aSimulation
■650 4▼aElectronic health records
■650 4▼aHypotheses
■650 4▼aPower
■650 4▼aPandemics
■650 4▼aCocaine
■650 4▼aDesign
■650 4▼aMethods
■653 ▼aRisk factor identification
■653 ▼aHuman complex traits
■653 ▼aOmics data
■653 ▼aThroughput technologies
■653 ▼aTranscriptomics
■653 ▼aGenomics
■690 ▼a0308
■690 ▼a0212
■690 ▼a0369
■690 ▼a0769
■690 ▼a0573
■690 ▼a0389
■71020▼aYale University▼bPublic Health in MD/PhD Program.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0265
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051266▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
