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相关概念视频

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
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相关实验视频

Updated: Jul 19, 2025

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform
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一个鼠标路径级信息提取器模型.

Shuo Zhang1,2, Benjamin J Heil3, Weiguang Mao4

  • 1Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.

bioRxiv : the preprint server for biology
|August 14, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了mousiPLER,这是一个机器学习工具,在广泛的小鼠大脑数据上进行训练. 这种工具简化了基因表达分析,揭示了生物途径并帮助了衰老研究.

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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 高通量基因表达概况生成大量数据,在途径推断和假设生成方面提出了挑战.
  • 整合生物知识的机器学习对于解释复杂的基因表达数据集至关重要.

研究的目的:

  • 开发和验证一种新的无监督机器学习模型,mousiPLER,用于分析小鼠大脑RNA测序数据.
  • 通过提取与生物途径一致的潜在变量来减少数据维度,并提高基因表达特征的解释性.

主要方法:

  • 在190,111个小鼠大脑RNA测序样本上训练了第一个小鼠路径级信息提取器 (PLIER) 模型 (mousiPLER).
  • 将mousiPLER应用于小质细胞和星球细胞的转录组数据,来自老鼠大脑衰老研究.
  • 利用k-means集群来识别与特定隐性变量相关的研究.

主要成果:

  • mousiPLER成功地将基因表达数据转化为代表生物途径的可解释的潜在变量.
  • 在老鼠大脑衰老研究中确定了一个与衰老和条纹信号显著相关的潜在变量 (LV41).
  • 证明了LV41在科学文献中关于条纹体和衰老的相关性.

结论:

  • mousiPLER提供了一种强大,数据驱动的方法,用于在小鼠转录组研究中发现有意义的生物过程.
  • 开发的Web服务器方便用户友好地探索已学习的潜在变量,支持假设生成.
  • 这项研究证实了mousiPLER对推进小鼠神经生物学和衰老研究的有用性.