Network properties influence their susceptibility to gene perturbations.

Counts of genes that are hub knockouts (left) and hub target genes (right) in each synthetic GRN, as a function of network generating parameters. Each panel shows all 1,920 GRNs as individual points, stratified by parameter values. Each distribution is...

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Bibliographic Details
Main Author:	Matthew Aguirre (9558032) (author)
Other Authors:	Jeffrey P. Spence (15317543) (author), Guy Sella (230321) (author), Jonathan K. Pritchard (8027465) (author)
Published:	2025
Subjects:	Genetics Molecular Biology Developmental Biology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified world network theory consider future avenues interpret gene coexpression gene knockouts within better understand properties scale perturbation study like hierarchical structure unperturbed cells may gene regulation unperturbed states scale efforts key properties systematically describe remains challenging recent genome recapitulate features perturbation data new approach molecular perturbations modular organization efficient manner deeper analysis
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Network properties influence their susceptibility to gene perturbations.

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