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Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

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Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
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Cell Migration01:19

Cell Migration

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Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
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Genetic Drift03:33

Genetic Drift

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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
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Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

8.3K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
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相关实验视频

Updated: Sep 15, 2025

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes
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Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

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在一个自我生成的梯度集体细胞运动模型中的近似贝叶斯推理.

Jon Devlin1, Agnieszka Borowska2, Dirk Husmeier2

  • 1Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.

Computational statistics
|July 15, 2025
PubMed
概括

本研究将近似贝叶斯计算 (ABC) 方法与细胞运动模型中的参数推理进行比较. 它确定了高性能的ABC算法,用于分析具有随机过程的复杂生物系统.

科学领域:

  • 计算生物学 计算生物学
  • 数学建模的数学建模
  • 生物物理学的生物物理.

背景情况:

  • 对复杂的生物模型进行参数推断,比如细胞在化疗梯度中的运动,具有挑战性.
  • 细胞运动模型中的随机过程往往使传统的基于概率的推理在计算上难以处理.
  • 大致贝叶斯计算 (ABC) 为具有计算昂贵或难以处理的可能性的模型提供了可行的替代方案.

研究的目的:

  • 评估和比较各种近似贝叶斯计算 (ABC) 算法的性能.
  • 在新型混合离散连续细胞运动模型中确定最适合参数推断的ABC方法.
  • 评估ABC方法的准确性和偏差与基准随机微分方程 (SDE) 模型相比.

主要方法:

  • 采用混合离散连续模型,用于细胞群体运动,以应对化疗.
  • 由于模型的复杂性,采用近似贝叶斯计算 (ABC) 技术进行参数推理.
  • 使用漂移-扩散随机微分方程 (SDE) 作为算法评估的基准.
  • 与SDE模型的精确后部相比,评估了ABC后部的准确性和偏差.

主要成果:

  • 在基准SDE模型中识别和排名了参数推理的高性能ABC算法.
  • 证明了选择的高性能ABC算法的适用于复杂的细胞运动模型的适用性.
关键词:
大致的贝叶斯计算方法化学反应 (chemotaxis) 是一种漂移-扩散模型的模型.模型校准模型的校准.随机微分方程 随机微分方程

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  • 量化了ABC衍生后部与SDE真正后部分布之间的偏差.

    • 结论:

    • 该研究在生物建模的背景下对ABC算法效率进行了比较分析.
    • 选择的ABC方法在复杂的细胞运动模型中对参数推理是有效的.
    • 这项工作有助于选择合适的计算方法来分析复杂的生物系统.