Algebraic and Combinatorial Applications in Systems and Evolutionary Biology

dc.contributor.advisorGross, Elizabeth
dc.contributor.authorCuriel, Maize
dc.contributor.departmentMathematics
dc.date.accessioned2024-07-02T23:44:04Z
dc.date.available2024-07-02T23:44:04Z
dc.date.issued2024
dc.description.degreePh.D.
dc.identifier.urihttps://hdl.handle.net/10125/108492
dc.subjectMathematics
dc.titleAlgebraic and Combinatorial Applications in Systems and Evolutionary Biology
dc.typeThesis
dcterms.abstractMany real-world problems can be expressed as the solution set of polynomial equations. Under these constraints, these problems are addressed using tools from (computational) algebraic geometry, commutative algebra, and combinatorics. Inspired by questions in systems and evolutionary biology, three algebraic problems are addressed in this thesis: steady-state analysis of mass-action ordinary differential equations given by directed graphs, optimal phylogenetic consensus trees, and singularities arising from linear structural equation models given by acyclic mixed graphs. Specifically, for the first algebraic problem, we introduce a polyhedral geometry tool called a mixed volume to study the steady-state degree of partitionable binomial chemical reaction networks. For the second algebraic problem, a phylogenetic consensus tree is the optimal point of a minimization problem, or a point belonging to a tropical variety, and tools from tropical combinatorics are used to locate these optimal points. For the final algebraic problem, the main object of study is the covariance parameterization map arising from linear structural equation models given by an acyclic mixed graph. The concern is with understanding the parameters for which the covariance map fails to be locally injective.
dcterms.extent108 pages
dcterms.languageen
dcterms.publisherUniversity of Hawai'i at Manoa
dcterms.rightsAll UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dcterms.typeText
local.identifier.alturihttp://dissertations.umi.com/hawii:12143

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