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

被引：0

作者：

Mohammad-Taheri, Sara ^{[1
,2
]}

Navada, Pruthvi Prakash ^{[2
]}

Hoyt, Charles Tapley ^{[2
]}

Zucker, Jeremy ^{[3
]}

Sachs, Karen ^{[4
,5
]}

Gyori, Benjamin M. ^{[1
,2
,6
]}

Vitek, Olga ^{[1
,2
]}

机构：

[1] Northeastern Univ, Barnett Inst Chem & Biol Anal, Boston, MA 02115 USA

[2] Northeastern Univ, Khoury Coll Comp Sci, Boston, MA 02115 USA

[3] Pacific Northwest Natl Lab, Richland, WA 99354 USA

[4] Next Generat Analyt, Palo Alto, CA USA

[5] Modulo Bio Inc, Los Altos, CA 92121 USA

[6] Northeastern Univ, Dept Bioengn, Boston, MA 02115 USA

来源：

BIOINFORMATICS | 2024年 / 40卷 / 09期

关键词：

D O I：

10.1093/bioinformatics/btae527

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

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页数：5

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