Investigating Significant Mutations of US SARS-CoV-2 RNA Sequences Using Stratified Spaces, and Genetic Connection to Drug-induced Liver Injury (DILI) Through Statistical Learning Methods
Investigating Significant Mutations of US SARS-CoV-2 RNA Sequences Using Stratified Spaces, and Genetic Connection to Drug-induced Liver Injury (DILI) Through Statistical Learning Methods
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798460426089
- DDC
- 574
- 저자명
- Moore, Roland.
- 서명/저자
- Investigating Significant Mutations of US SARS-CoV-2 RNA Sequences Using Stratified Spaces, and Genetic Connection to Drug-induced Liver Injury (DILI) Through Statistical Learning Methods
- 발행사항
- [Sl] : The Florida State University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 87 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
- 주기사항
- Advisor: Patrangenaru, Victor.
- 학위논문주기
- Thesis (Ph.D.)--The Florida State University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Biostatistics
- 일반주제명
- Artificial intelligence
- 키워드
- Stratified space
- 키워드
- Frechet mean
- 키워드
- Intrinsic mean
- 기타저자
- The Florida State University Statistics
- 기본자료저록
- Dissertations Abstracts International. 83-04B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
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