Amoebic foraging model of metastatic cancer cells

Daiki Andoh*, Yukio Pegio Gunji

*この研究の対応する著者

研究成果: Article査読

抄録

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 bal-ances exploration and exploitation, and through a comparison with general random walks, we con-firmed its effectiveness. While Bayesian inference is expressed only by P(h) = P(h|d), we introduce inverse Bayesian inference expressed as P(d|h) = P(d) in a symmetry fashion. That symmetry con-tributes 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.

本文言語English
論文番号1140
ジャーナルSymmetry
13
7
DOI
出版ステータスPublished - 2021 7

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 化学(その他)
  • 数学 (全般)
  • 物理学および天文学(その他)

フィンガープリント

「Amoebic foraging model of metastatic cancer cells」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル