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Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise
In this work, an improved Gompertz tumor growth model has been introduced. The expressions of steady probability distributions (SPD) of stochastic Gompertz tumor growth models are studied by using the technique of Fokker-Planck equation (FPE), and their dynamic behaviors are also further investigate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667274/ https://www.ncbi.nlm.nih.gov/pubmed/36406688 http://dx.doi.org/10.1016/j.heliyon.2022.e11574 |
_version_ | 1784831690265329664 |
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author | Lv, Huijun He, Guitian Cheng, Hui Peng, Yun |
author_facet | Lv, Huijun He, Guitian Cheng, Hui Peng, Yun |
author_sort | Lv, Huijun |
collection | PubMed |
description | In this work, an improved Gompertz tumor growth model has been introduced. The expressions of steady probability distributions (SPD) of stochastic Gompertz tumor growth models are studied by using the technique of Fokker-Planck equation (FPE), and their dynamic behaviors are also further investigated. Moreover, the expressions for mean, variance, skewness, as well as the mean first-passage time (MFPT) also have been derived. And the influence of noise intensity, correlation coefficient, and noise correlation time of SPD are further analyzed. It is worthy noting that the colored noise intensity has an important impact on SPD. Furthermore, adjusting birth and death parameters also significantly impact SPD, MFPT, mean, variance as well as skewness. |
format | Online Article Text |
id | pubmed-9667274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96672742022-11-17 Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise Lv, Huijun He, Guitian Cheng, Hui Peng, Yun Heliyon Research Article In this work, an improved Gompertz tumor growth model has been introduced. The expressions of steady probability distributions (SPD) of stochastic Gompertz tumor growth models are studied by using the technique of Fokker-Planck equation (FPE), and their dynamic behaviors are also further investigated. Moreover, the expressions for mean, variance, skewness, as well as the mean first-passage time (MFPT) also have been derived. And the influence of noise intensity, correlation coefficient, and noise correlation time of SPD are further analyzed. It is worthy noting that the colored noise intensity has an important impact on SPD. Furthermore, adjusting birth and death parameters also significantly impact SPD, MFPT, mean, variance as well as skewness. Elsevier 2022-11-11 /pmc/articles/PMC9667274/ /pubmed/36406688 http://dx.doi.org/10.1016/j.heliyon.2022.e11574 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Lv, Huijun He, Guitian Cheng, Hui Peng, Yun Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise |
title | Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise |
title_full | Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise |
title_fullStr | Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise |
title_full_unstemmed | Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise |
title_short | Stochastic behaviors of an improved Gompertz tumor growth model with coupled two types noise |
title_sort | stochastic behaviors of an improved gompertz tumor growth model with coupled two types noise |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667274/ https://www.ncbi.nlm.nih.gov/pubmed/36406688 http://dx.doi.org/10.1016/j.heliyon.2022.e11574 |
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