Modeling the pancreatic cancer microenvironment in search of control targets

DOI10.1007/s11538-021-00937-wzbMath1475.92052OpenAlexW3206264350WikidataQ113900128 ScholiaQ113900128MaRDI QIDQ2051435

Daniel Plaugher, David Murrugarra

Publication date: 24 November 2021

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://ir.library.illinoisstate.edu/beer/2021/ts2/3

zbMATH Keywords

Boolean networkspancreatic cancermath modelingphenotype control

Mathematics Subject Classification ID

Systems biology, networks (92C42) Switching theory, applications of Boolean algebras to circuits and networks (94C11) Pathology, pathophysiology (92C32)

Related Items (4)

Uncovering potential interventions for pancreatic cancer patients via mathematical modeling ⋮ Phenotype control techniques for Boolean gene regulatory networks ⋮ Attractor separation and signed cycles in asynchronous Boolean networks ⋮ Stability of linear Boolean networks

Uses Software

• Macaulay2

Cites Work

• Unnamed Item
• Dynamics and control at feedback vertex sets. I: Informative and determining nodes in regulatory networks
• Reduction of Boolean network models
• Dynamics and control at feedback vertex sets. II: A faithful monitor to determine the diversity of molecular activities in regulatory networks
• An effective network reduction approach to find the dynamical repertoire of discrete dynamic networks
• A Reduction Method for Boolean Network Models Proven to Conserve Attractors
• Reducibility among Combinatorial Problems

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