MInfer:弥合代谢分析和雅可比分析的代谢网络
Jana Schwarzerova1, Erdő Gabor Mate2, Jakub Idkowiak3
1Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Czech Republic; Molecular Systems Biology (MOSYS), University of Vienna, Vienna, Austria; Department of Molecular and Clinical Pathology and Medical Genetics, University Hospital Ostrava, Ostrava, Czech Republic.
Computer methods and programs in biomedicine
|February 25, 2025
概括
新的计算框架MInfer通过整合MetaboAnalyst和Jacobian分析来增强代谢数据分析. 它揭示了复杂生物系统的关键代谢途径和监管洞察力.
科学领域:
- 计算生物学是一种计算生物学.
- 系统生物学 系统生物学
- 代谢学 代谢学 代谢学
背景情况:
- 代谢相互作用网络对于理解代谢物动态和调节至关重要.
- 现有的工具需要加强,以实现全面的网络导出和解释.
研究的目的:
- 介绍MInfer,一个新的计算框架.
- 整合MetaboAnalyst输出与雅可比分析,以改进代谢网络分析.
- 增强代谢相互作用网络的导出和解释.
主要方法:
- MInfer将MetaboAnalyst的数据处理与雅可比分析的数学建模相结合.
- 适用于各种代谢数据集.
- 利用先进的统计测试用于网络构建和路径识别.
主要成果:
- 在多个数据集中确定了重要的代谢途径和调节机制.
- 在相互作用识别中表现出高精度,灵敏度和特异性.
- 实现了强大且可解释的代谢网络构建.
结论:
- MInfer显著增强了代谢数据的解释.
- 提供详细的交互网络和关键的监管见解.
- 提供了推进复杂生物系统研究的潜力.
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