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Statistical Methods for Phylogenetic Trees With Non-Identical Leaf Sets
Statistical Methods for Phylogenetic Trees With Non-Identical Leaf Sets
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152756
- ISBN
- 9798384094715
- DDC
- 574
- 서명/저자
- Statistical Methods for Phylogenetic Trees With Non-Identical Leaf Sets
- 발행사항
- [Sl] : University of Washington, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 137 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Advisor: Willis, Amy.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2024.
- 초록/해제
- 요약Phylogenetic trees, which describe shared ancestry between organisms through their branching structure (topology) and branch lengths, are a fundamental tool for analyzing evolutionary relationships. However, limited statistical tools exist for analyzing collections of phylogenetic trees with non-identical leaf sets. Here we present the first algorithm for computing distances between any pair of phylogenetic trees via Billera-Holmes-Vogtmann (BHV) extension spaces. Extension spaces represent trees with fewer leaves within the metric space of a larger leaf set, thus enabling comparisons in a common metric space. Motivated by limitations of extension spaces, we introduce the "towering" tree space, a metric space defined by transitions between nested BHV spaces. We describe an algorithm for computing distances within towering tree space, and propose Frechet means to summarize collections of trees. We illustrate our proposed methods on gene trees spanning multiple domains of life.
- 일반주제명
- Biostatistics
- 일반주제명
- Statistics
- 일반주제명
- Applied mathematics
- 키워드
- BHV spaces
- 키워드
- Metric space
- 키워드
- Phylogenetics
- 기타저자
- University of Washington Biostatistics
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211152756
■006m o d
■007cr#unu||||||||
■020 ▼a9798384094715
■035 ▼a(MiAaPQ)AAI31555800
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aValdez Cabrera, Maria Alejandra.
■24510▼aStatistical Methods for Phylogenetic Trees With Non-Identical Leaf Sets
■260 ▼a[Sl]▼bUniversity of Washington▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a137 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aAdvisor: Willis, Amy.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2024.
■520 ▼aPhylogenetic trees, which describe shared ancestry between organisms through their branching structure (topology) and branch lengths, are a fundamental tool for analyzing evolutionary relationships. However, limited statistical tools exist for analyzing collections of phylogenetic trees with non-identical leaf sets. Here we present the first algorithm for computing distances between any pair of phylogenetic trees via Billera-Holmes-Vogtmann (BHV) extension spaces. Extension spaces represent trees with fewer leaves within the metric space of a larger leaf set, thus enabling comparisons in a common metric space. Motivated by limitations of extension spaces, we introduce the "towering" tree space, a metric space defined by transitions between nested BHV spaces. We describe an algorithm for computing distances within towering tree space, and propose Frechet means to summarize collections of trees. We illustrate our proposed methods on gene trees spanning multiple domains of life.
■590 ▼aSchool code: 0250.
■650 4▼aBiostatistics
■650 4▼aStatistics
■650 4▼aApplied mathematics
■653 ▼aBHV spaces
■653 ▼aMetric space
■653 ▼aBillera-Holmes-Vogtmann
■653 ▼aPhylogenetics
■690 ▼a0308
■690 ▼a0364
■690 ▼a0463
■71020▼aUniversity of Washington▼bBiostatistics.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163808▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
