Perturbation Biology: Inferring Signaling Networks in Cellular Systems

We present a powerful experimental-computational technology for inferring network models that predict the response of cells to perturbations, and that may be useful in the design of combinatorial therapy against cancer. The experiments are systematic series of perturbations of cancer cell lines by t...

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Autors principals: Molinelli, Evan J., Korkut, Anil, Wang, Weiqing, Miller, Martin L., Gauthier, Nicholas P., Jing, Xiaohong, Kaushik, Poorvi, He, Qin, Mills, Gordon, Solit, David B., Pratilas, Christine A., Weigt, Martin, Braunstein, Alfredo, Pagnani, Andrea, Zecchina, Riccardo, Sander, Chris
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2013
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3868523/
https://ncbi.nlm.nih.gov/pubmed/24367245
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1003290
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