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Unique Signed Minimal Wiring Diagrams and the Stanley-Reisner Correspondence

Abstract

dc:description.abstract

<p>Biological systems are commonly represented using networks consisting of interactions between various elements in the system. Reverse engineering, a method of mathematical modeling, is used to recover how the elements in the biological network are connected. These connections are encoded using wiring diagrams, which are directed graphs that describe how elements in a network affect one another. A signed wiring diagram provides additional information about the interactions between elements relating to activation and inhibition. Due to cost concerns, it is optimal to gain insight into biological networks with as few experiments and data as possible. Minimal wiring diagrams identify the minimal sets of variables for which a model that fits the data exists. Previously established algorithms to compute possible minimal wiring diagrams rely on the primary decomposition of ideals in polynomial rings.</p> <p>Stanley-Reisner theory provides a one-to-one correspondence between squarefree monomial ideals and abstract simplicial complexes. In this work, we use this correspondence to determine conditions under which a given set of inputs is guaranteed to have a unique signed minimal wiring diagram, regardless of the output assignment.</p>

Degree

thesis:*
Name thesis:degree_name
MS in Mathematics
Discipline thesis:degree_discipline
Mathematics
Year dc:date.available
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Newsome-Slade, Vanessa
Contributors dc:contributor
  • Elena Dimitrova
  • Mathematics
  • College of Science and Mathematics

Subjects

dc:subject × 5

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.calpoly.edu:theses-4096

Chain of custody

source
Harvested from
Cal Poly
Base URL
digitalcommons.calpoly.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Newsome-Slade, Vanessa. Unique Signed Minimal Wiring Diagrams and the Stanley-Reisner Correspondence. 2022. https://digitalcommons.calpoly.edu/theses/2489