Amoebic Foraging Model of Metastatic Cancer Cells
The Lévy walk is a pattern that is often seen in the movement of living organisms; it has both ballistic and random features and is a behavior that has been recognized in various animals and unicellular organisms, such as amoebae, in recent years. We proposed an amoeba locomotion model that implemen...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/13/7/1140 |
| _version_ | 1797528645638553600 |
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| author | Daiki Andoh Yukio-Pegio Gunji |
| author_facet | Daiki Andoh Yukio-Pegio Gunji |
| author_sort | Daiki Andoh |
| collection | DOAJ |
| description | The Lévy walk is a pattern that is often seen in the movement of living organisms; it has both ballistic and random features and is a behavior that has been recognized in various animals and unicellular organisms, such as amoebae, in recent years. We proposed an amoeba locomotion model that implements Bayesian and inverse Bayesian inference as a Lévy walk algorithm that balances exploration and exploitation, and through a comparison with general random walks, we confirmed its effectiveness. While Bayesian inference is expressed only by <i>P</i>(<i>h</i>) = <i>P</i>(<i>h</i>|<i>d</i>), we introduce inverse Bayesian inference expressed as <i>P</i>(<i>d</i>|<i>h</i>) = <i>P</i>(<i>d</i>) in a symmetry fashion. That symmetry contributes to balancing contracting and expanding the probability space. Additionally, the conditions of various environments were set, and experimental results were obtained that corresponded to changes in gait patterns with respect to changes in the conditions of actual metastatic cancer cells. |
| first_indexed | 2024-03-10T10:02:17Z |
| format | Article |
| id | doaj.art-0f1b3d3798fe4d3594258afca6c4ff65 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-10T10:02:17Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-0f1b3d3798fe4d3594258afca6c4ff652023-11-22T01:49:44ZengMDPI AGSymmetry2073-89942021-06-01137114010.3390/sym13071140Amoebic Foraging Model of Metastatic Cancer CellsDaiki Andoh0Yukio-Pegio Gunji1Department of Intermedia Art and Science, School of Fundamental Science and Technology, Waseda University, Tokyo 169-8555, JapanDepartment of Intermedia Art and Science, School of Fundamental Science and Technology, Waseda University, Tokyo 169-8555, JapanThe Lévy walk is a pattern that is often seen in the movement of living organisms; it has both ballistic and random features and is a behavior that has been recognized in various animals and unicellular organisms, such as amoebae, in recent years. We proposed an amoeba locomotion model that implements Bayesian and inverse Bayesian inference as a Lévy walk algorithm that balances exploration and exploitation, and through a comparison with general random walks, we confirmed its effectiveness. While Bayesian inference is expressed only by <i>P</i>(<i>h</i>) = <i>P</i>(<i>h</i>|<i>d</i>), we introduce inverse Bayesian inference expressed as <i>P</i>(<i>d</i>|<i>h</i>) = <i>P</i>(<i>d</i>) in a symmetry fashion. That symmetry contributes to balancing contracting and expanding the probability space. Additionally, the conditions of various environments were set, and experimental results were obtained that corresponded to changes in gait patterns with respect to changes in the conditions of actual metastatic cancer cells.https://www.mdpi.com/2073-8994/13/7/1140Lévy walkamoebic motionmetastatic cancer cellsBayesian inferenceinverse Bayesian inference |
| spellingShingle | Daiki Andoh Yukio-Pegio Gunji Amoebic Foraging Model of Metastatic Cancer Cells Symmetry Lévy walk amoebic motion metastatic cancer cells Bayesian inference inverse Bayesian inference |
| title | Amoebic Foraging Model of Metastatic Cancer Cells |
| title_full | Amoebic Foraging Model of Metastatic Cancer Cells |
| title_fullStr | Amoebic Foraging Model of Metastatic Cancer Cells |
| title_full_unstemmed | Amoebic Foraging Model of Metastatic Cancer Cells |
| title_short | Amoebic Foraging Model of Metastatic Cancer Cells |
| title_sort | amoebic foraging model of metastatic cancer cells |
| topic | Lévy walk amoebic motion metastatic cancer cells Bayesian inference inverse Bayesian inference |
| url | https://www.mdpi.com/2073-8994/13/7/1140 |
| work_keys_str_mv | AT daikiandoh amoebicforagingmodelofmetastaticcancercells AT yukiopegiogunji amoebicforagingmodelofmetastaticcancercells |