对交互性质的基于转录的估计器的噪声稳定性
Manuel Adams1, Klaus Lehnertz1,2,3
1Department of Epileptology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Entropy (Basel, Switzerland)
|October 28, 2025
概括
基于交互性质的转录估计器对噪声敏感,即使在高的信号噪声比率下也是如此. 虽然合模式仍然可以区分,但噪声可能会误解相互作用方向,影响生物网络分析.
科学领域:
- 系统生物学 系统生物学
- 计算神经科学是一种计算神经科学.
- 统计推断的统计推断.
背景情况:
- 基于转录的方法对于推断生物相互作用至关重要.
- 了解噪声对这些估计器的影响对于可靠的生物网络重建至关重要.
研究的目的:
- 评估基于成绩单的相互作用估计器对各种噪音类型的稳定性.
- 为了确定噪声对区分合模式和推断相互作用方向的影响.
主要方法:
- 模拟的噪音转录数据与受控的噪音水平 (有色,同谱,对称,不对称).
- 分析基于成绩单的估计器在不同信号噪声比的性能.
- 评估估计器的灵敏度和在描述合和方向性的准确性.
主要成果:
- 所有测试的估计器都对对称和不对称的噪声污染表现出敏感性.
- 在远远超过典型生物条件的信号噪声比率下观察到显著的噪声影响.
- 不同的合模式通常可以区分,但相互作用方向估计受到严重影响.
结论:
- 基于转录的估计器对噪声的稳定性有限,特别是在推断相互作用方向时.
- 需要仔细考虑噪声影响,才能准确地推断和解释生物网络.
- 未来的研究应该专注于开发对转录组数据的耐噪声推理方法.
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