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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
Despite significant efforts and remarkable progress, the inference of signaling networks from experimental data remains very challenging. The problem is particularly difficult when the objective is to obtain a dynamic model capable of predicting the effect of novel perturbations not considered durin...
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| Publicat a: | PLoS Comput Biol |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5319798/ https://ncbi.nlm.nih.gov/pubmed/28166222 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005379 |
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