Eliater: a Python package for estimating outcomes of perturbations in biomolecular networks.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39187941.
- Also identified by DOI 10.1093/bioinformatics/btae527 and PMC identifier 11410922.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Escherichia coli
- Software
- Gene Regulatory Networks