在生物系统的Petri网络模型中,图表分布感应度的分布感应度.
IEEE transactions on computational biology and bioinformatics
|August 14, 2025
概括
对培养网模型的分析显示,低密度图的不稳定性影响了生物网络的比较. 这是不稳定的不稳定.
科学领域:
- 计算生物学 计算生物学
- 系统生物学 系统生物学
- 网络分析 网络分析
背景情况:
- 图表度分布协议 (GDDA) 是用于比较图表的指标.
- 在低密度图形中,GDDA已知存在稳定性问题.
- 如今,图表被用来比较生物系统的培养网模型.
研究的目的:
- 调查Petri网模型的修改图表中的GDDA稳定性问题.
- 量化不稳定对GDDA值的影响.
- 为了确定这是否是Petri网生物模型的常见问题.
主要方法:
- 对修改图表的GDDA指标性能进行分析.
- 对彼得里网模型的图形密度范围的评估.
- 不稳定性特征与非定向蛋白-蛋白相互作用 (PPI) 模型的比较.
主要成果:
- 对于某些密度范围内的修改图片,GDDA仍然不稳定.
- 不稳定性会影响一些由彼得里网所代表的生物网络.
- 与原始图形相比,不稳定性影响的规模减少了大约一半.
- 脆弱密度区域与PPI模型不同,在非常稀疏的模型中观察到一个稳定的区域.
结论:
- 在Petri网络生物模型的修改图片中,GDDA的不稳定性仍然存在.
- 不稳定的特征和影响在培养网的背景下发生了变化.
- 在使用GDDA用于这些模型时,需要仔细考虑特定的密度范围.
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