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Chromosomal Scale Length Variations as a Genetic Risk Score for Predicting Complex Human Diseases in Large Scale Genomic Datasets.
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Chromosomal Scale Length Variations as a Genetic Risk Score for Predicting Complex Human Diseases in Large Scale Genomic Datasets.
자료유형  
 학위논문
Control Number  
0016052351
International Standard Book Number  
9798522928315
Dewey Decimal Classification Number  
574
Main Entry-Personal Name  
Toh, Christopher En-Li.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of California, Irvine., 2021
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2021
Physical Description  
149 p.
General Note  
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
General Note  
Advisor: Brody, James P.
Dissertation Note  
Thesis (Ph.D.)--University of California, Irvine, 2021.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Bioinformatics.
Subject Added Entry-Topical Term  
Genetics.
Subject Added Entry-Topical Term  
Artificial intelligence.
Subject Added Entry-Topical Term  
Ovarian cancer.
Subject Added Entry-Topical Term  
Internet of Things.
Subject Added Entry-Topical Term  
Computers.
Subject Added Entry-Topical Term  
Datasets.
Subject Added Entry-Topical Term  
Genomics.
Subject Added Entry-Topical Term  
Mutation.
Subject Added Entry-Topical Term  
Medical research.
Index Term-Uncontrolled  
Cancer
Index Term-Uncontrolled  
Copy number variation
Index Term-Uncontrolled  
Genomics
Index Term-Uncontrolled  
H2O
Index Term-Uncontrolled  
Machine learning
Index Term-Uncontrolled  
Schizophrenia
Added Entry-Corporate Name  
University of California, Irvine Biomedical Engineering - PhD
Host Item Entry  
Dissertations Abstracts International. 83-02B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:612011
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TQ0018082 T   원문자료 열람가능/출력가능 열람가능/출력가능
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