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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

29
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
29

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SPRM: spatial process and relationship modeling for multiplexed images.

Bioinformatics advances·2026
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CytoSpatio: Learning cell type spatial relationships using multirange, multitype point process models.

PLoS computational biology·2025
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Big1 is a cell cycle regulator linking cell size to basal body number.

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Improved protein interaction models predict differences in complexes between human cell lines.

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Flexible and robust cell type annotation for highly multiplexed tissue images.

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Image-based discrimination of the early stages of mesenchymal stem cell differentiation.

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Layered social competition coordinates reproductive hierarchy formation in ants.

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Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

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Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

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Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

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Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

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Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

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相关实验视频

Updated: Jun 7, 2025

Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells
10:21

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Published on: September 16, 2020

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CytoSpatio:使用多范围,多类型的点过程模型学习细胞类型的空间关系.

Haoran Chen1, Robert F Murphy1

  • 1Computational Biology Department, School of Computer Science, Carnegie Mellon University.

bioRxiv : the preprint server for biology
|November 18, 2024
PubMed
概括
此摘要是机器生成的。

CytoSpatio软件使用点过程模拟组织中的细胞相互作用. 它揭示了一致和可变的细胞关系,使组织生化学的真实模拟成为可能.

关键词:
细胞类型 细胞类型生成型模型是一种生成型模型.多重光成像多重光成像时间点过程模型.空间蛋白质组学 空间蛋白质组学空间关系是空间关系.合成组织模拟合成组织模拟组织图像 组织图像

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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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相关实验视频

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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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科学领域:

  • 计算生物学是一种计算生物学.
  • 空间转录组学 空间转录组学
  • 生物信息学是一种生物信息学.

背景情况:

  • 多复合光成像使细胞空间组织的详细分析成为可能.
  • 了解细胞与细胞之间的相互作用对于破译组织结构和功能至关重要.

研究的目的:

  • 介绍CytoSpatio,这是一个开源软件,用于建模多细胞类型的空间关系.
  • 为了同时捕捉不同距离的多种细胞类型之间的复杂相互作用.

主要方法:

  • 开发生成性,多范围和多类型的点过程模型.
  • 应用CytoSpatio来分析五种组织类型中的五种细胞类型.

主要成果:

  • 在相同的组织类型中观察到一致的空间关系.
  • 增殖的T细胞在不同类型的组织中显示出一致的集群.
  • 细胞类型 (例如B细胞和CD4阳性T细胞) 之间的吸引-排斥动态因组织而异.
  • 赛托斯帕蒂奥成功地产生了合成组织结构,保留了空间关系.

结论:

  • CytoSpatio提供了一种新的方法来定量建模和模拟细胞空间组织.
  • 该软件揭示了细胞与细胞相互作用的组织特异性和可概括的模式.
  • 该工具可进行空间现实的模拟,以研究细胞关系对组织生物化学的影响.