Network properties influence their susceptibility to gene perturbations.

Network properties influence their susceptibility to gene perturbations.

<p>Counts of genes that are hub knockouts <b>(left)</b> and hub target genes <b>(right)</b> 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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Summary:<p>Counts of genes that are hub knockouts <b>(left)</b> and hub target genes <b>(right)</b> 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 annotated with its mean over GRNs (diamond points).</p>

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