Network structure and fluctuation data improve inference of metabolic interaction strengths with the inverse Jacobian
Abstract Based on high-throughput metabolomics data, the recently introduced inverse differential Jacobian algorithm can infer regulatory factors and molecular causality within metabolic networks close to steady-state. However, these studies assumed perturbations acting independently on each metabol...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2024-11-01
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| Colección: | npj Systems Biology and Applications |
| Acceso en línea: | https://doi.org/10.1038/s41540-024-00457-y |
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