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φ-evo: A program to evolve phenotypic models of biological networks
Molecular networks are at the core of most cellular decisions, but are often difficult to comprehend. Reverse engineering of network architecture from their functions has proved fruitful to classify and predict the structure and function of molecular networks, suggesting new experimental tests and b...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013240/ https://www.ncbi.nlm.nih.gov/pubmed/29889886 http://dx.doi.org/10.1371/journal.pcbi.1006244 |