# Eliater: a Python package for estimating outcomes of perturbations in biomolecular networks

## TL;DR

Eliater is a Python tool that estimates how changing one molecule affects another in a biological network.

## Contribution

Eliater introduces a novel Python package for quantifying perturbation effects in biomolecular networks.

## Key findings

- Eliater estimates quantitative effects of molecular perturbations using observational data and network structures.
- The package was demonstrated on Escherichia coli transcriptional regulatory networks.
- Eliater is open source with documentation and case studies available.

## Abstract

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.

The code, the documentation, and several case studies are available open source at https://github.com/y0-causal-inference/eliater.