No interaction between out-degree term and other network generating parameters.

<p>Counts of the number of genes which are strong knockouts (KOs, top row) and key target genes (bottom row) in each synthetic GRN. Each panel shows all 1,920 GRNs as individual points, across values of network generating parameters (<i>x</i>-axes), with additional stratification b...

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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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No interaction between out-degree term and other network generating parameters.

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