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
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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收藏
页数:5
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