February 7, 2025
Journal Article

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

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

Published: February 7, 2025

Citation

Mohammad-Taheri S., P.P. Navada, C.T. Hoyt, J.D. Zucker, K. Sachs, B.M. Gyori, and O. Vitek. 2024. Eliater: a Python package for estimating outcomes of perturbations in biomolecular networks. Bioinformatics 40, no. 9:Art No. btae527. PNNL-SA-198400. doi:10.1093/bioinformatics/btae527

Research topics