A Subdiffusion Model for Cancer Network

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Auteur principal: Ronobir Chandra Sarker . Saroj Kumar Sahani
Format: Recurso digital
Publié: Zenodo 2024
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author Ronobir Chandra Sarker . Saroj Kumar Sahani
author_facet Ronobir Chandra Sarker . Saroj Kumar Sahani
contents <p>In this article, we propose a cancer network model with subdiffusion to understand dynamics of the cancer network. Our aim is to see the various patterns that form in the cancer network system. The underlying model will be analyzed for Turing instability and Hopf bifurcation using linear stability analysis. The study demonstrates that Turing instability can occur when the initiator diffuses faster than the inhibitor, a behaviour distinct from that observed with normal diffusion. The current study only focuses on some of the mathematical analysis but in future, our aim would be to further investigate these dynamics, and to present detailed numerical simulations with more compartments.</p>
format Recurso digital
id zenodo_https___doi_org_10_0525_JISST_2024994630
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle A Subdiffusion Model for Cancer Network
Ronobir Chandra Sarker . Saroj Kumar Sahani
<p>In this article, we propose a cancer network model with subdiffusion to understand dynamics of the cancer network. Our aim is to see the various patterns that form in the cancer network system. The underlying model will be analyzed for Turing instability and Hopf bifurcation using linear stability analysis. The study demonstrates that Turing instability can occur when the initiator diffuses faster than the inhibitor, a behaviour distinct from that observed with normal diffusion. The current study only focuses on some of the mathematical analysis but in future, our aim would be to further investigate these dynamics, and to present detailed numerical simulations with more compartments.</p>
title A Subdiffusion Model for Cancer Network
url https://doi.org/10.0525/JISST.2024994630