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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3868523/
https://www.ncbi.nlm.nih.gov/pubmed/24367245
http://dx.doi.org/10.1371/journal.pcbi.1003290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3868523/
https://www.ncbi.nlm.nih.gov/pubmed/24367245
http://dx.doi.org/10.1371/journal.pcbi.1003290

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