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

Authors :
Mohammad-Taheri S
Navada PP
Hoyt CT
Zucker J
Sachs K
Gyori BM
Vitek O
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2024 Sep 02; Vol. 40 (9).
Publication Year :
2024

Abstract

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.<br />Availability and Implementation: The code, the documentation, and several case studies are available open source at https://github.com/y0-causal-inference/eliater.<br /> (© The Author(s) 2024. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1367-4811
Volume :
40
Issue :
9
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
39187941
Full Text :
https://doi.org/10.1093/bioinformatics/btae527