Automated model refinement using perturbation-observation pairs
Abstract In modeling signal transduction networks, it is common to manually integrate experimental evidence through a process that involves trial and error constrained by domain knowledge. We implement a genetic algorithm-based workflow (boolmore) to streamline Boolean model refinement. Boolmore adj...
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| Main Authors: | Kyu Hyong Park, Jordan C. Rozum, Réka Albert |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | npj Systems Biology and Applications |
| Online Access: | https://doi.org/10.1038/s41540-025-00532-y |
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