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相关概念视频

Gene Regulation During Sporulation01:17

Gene Regulation During Sporulation

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Sporulation is a complex developmental process that allows certain Gram-positive bacteria, such as Bacillus subtilis and Clostridium species, to survive extreme environmental conditions. This process is tightly regulated by a series of signaling cascades and transcriptional controls, ensuring the formation of a highly resistant endospore.Sporulation is triggered by unfavorable conditions, such as nutrient depletion, and is governed by a phosphorelay system. One of the sensor kinases, such as...
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Combinatorial Gene Control02:33

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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相关实验视频

Updated: Jan 14, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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从单细胞数据中改进了基因调控网络推断,并进行了脱落增强.

Hao Zhu1, Donna K Slonim1

  • 1Department of Computer Science, Tufts University, Medford, Massachusetts, United States of America.

PLoS computational biology
|October 24, 2025
PubMed
概括

这项研究引入了放弃增量 (DA) 来解决单细胞RNA测序数据的零通胀问题. 利用DA的DAZZLE模型增强了基因调控网络推断,在真实世界数据集上显示了更好的性能和稳定性.

科学领域:

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

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 数据经常表现出"脱落"事件,其中错过了转录表达,导致零膨胀数据.
  • 这种零通货膨胀对下游分析构成了重大挑战,特别是对推断基因调节网络 (GRNs) 的推断.

研究的目的:

  • 引入放弃增量 (DA),一种新的规范化方法,以提高scRNA-seq数据对零通胀的弹性.
  • 介绍DAZZLE,一个基于自编码器的强大的GRN推理模型,它结合了DA概念以提高稳定性和性能.

主要方法:

  • 放弃增量 (DA):一种模型规范化技术,通过合成放弃事件来增强数据,以打击零通胀.
  • DAZZLE:一种基于自编码器的稳定结构方程模型,用于GRN推断,利用DA提高稳定性.

主要成果:

  • 基准实验表明,DAZZLE在性能和稳定性方面优于现有的GRN推断方法.
  • DAZZLE有效地处理了大规模的纵向小鼠微质细胞数据集,处理了超过15,000个基因,进行了最小的预处理.
  • 退学增量被证明是解决零通货膨胀问题的一个有价值的方法,超出了简单的归算.

结论:

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  • DAZZLE提供了一种强大而稳定的解决方案,用于从单细胞RNA测序数据中推断GRN,适用于现实世界的应用.
  • 放弃增强是一种有前途的技术,其潜在应用范围超出了单细胞数据分析中的GRN推理.