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Inquiries into Human Genetic Variants and Pharmacology Using Network- and Machine Learning-Based Approaches
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Inquiries into Human Genetic Variants and Pharmacology Using Network- and Machine Learning-Based Approaches. |
| 개인저자 | Liang, Siqi (Charles). |
| 단체저자명 | Cornell University. Computational Biology. |
| 발행사항 | [S.l.]: Cornell University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 208 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-01B. Dissertation Abstract International |
| ISBN | 9798516921100 |
| 학위논문주기 | Thesis (Ph.D.)--Cornell University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
Advisor: Yu, Haiyuan. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Bioinformatics. Systematic biology. Statistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
