在有机细胞运动的绝对方向.
Solveig Plomer1, Annika Meyer1, Philipp Gebhardt2
1Institute of Mathematics Goethe University Frankfurt Frankfurt Germany.
Ecology and evolution
|August 7, 2024
概括
用于运动分析的隐藏马尔科夫模型 (HMM) 可以从使用绝对角度而不是转角中获益. 这种方法增强了运动方向之间的区别,并改善了模型的合适性,透露了更多关于方向变化的信息.
科学领域:
- 运动生态学运动生态学
- 定量生物学的定量生物学.
- 动物行为分析 动物行为分析
背景情况:
- 相关随机步行 (CRW) 模型是运动分析的标准,通常使用相对于先前方向的转向角度.
- 隐藏的马尔科夫模型 (HMMs) 将运动细分成基于CRW的状态,通常根据转角度和步骤大小分布的速度进行区分.
研究的目的:
- 在HMM中引入和评估使用绝对角度,而不是传统的转向角度,用于运动分析.
- 为了证明绝对角可以捕获方向信息,补充转角提供的基于速度的歧视.
主要方法:
- 开发了一个预处理算法,以便在现有的R包 moveHMM.中实现绝对角度分析.
- 应用的HMM结合了细胞有机体运动数据集的绝对角度.
- 使用转向角度与绝对角度对比HMM之间的合适性和状态选择.
主要成果:
- 使用绝对角的HMM与使用转角的HMM相比,显示出更好的适合性.
- 绝对角的模型倾向于识别更多的状态,表明方向变化的意义.
- 对细胞有机体运动的分析揭示了绝对角度模型捕获的额外属性.
结论:
- 绝对角为运动模式提供了宝贵的见解,特别是当方向变化具有生物学意义时.
- 将绝对角度纳入HMM增强了区分不同运动方向和模式的能力.
- 更新了moveHMM R包,以方便使用绝对角度分析运动模式.
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