Eliater：一个用于估计生物分子网络中扰动结果的 Python 包。
Eliater: a Python package for estimating outcomes of perturbations in biomolecular networks.
机构信息
Barnett Institute for Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, United States.
Khoury College of Computer Sciences, Northeastern University, Boston, MA, 02115, United States.
出版信息
Bioinformatics. 2024 Sep 2;40(9). doi: 10.1093/bioinformatics/btae527.
SUMMARY
We introduce Eliater, a Python package for estimating the effect of perturbation of an upstream molecule on a downstream molecule in a biomolecular network. The estimation takes as input a biomolecular network, observational biomolecular data, and a perturbation of interest, and outputs an estimated quantitative effect of the perturbation. We showcase the functionalities of Eliater in a case study of Escherichia coli transcriptional regulatory network.
AVAILABILITY AND IMPLEMENTATION
The code, the documentation, and several case studies are available open source at https://github.com/y0-causal-inference/eliater.
摘要
我们介绍了 Eliater，这是一个用于估计生物分子网络中上游分子的扰动对下游分子的影响的 Python 包。该估计方法的输入包括生物分子网络、观测性生物分子数据和感兴趣的扰动，输出为该扰动的估计定量影响。我们在大肠杆菌转录调控网络的案例研究中展示了 Eliater 的功能。
可用性和实现
代码、文档和几个案例研究可在 https://github.com/y0-causal-inference/eliater 上获得开源。
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