CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms

Background: Cells process signals using complex and dynamic networks. Studying how this is performed in a context and cell type specific way is essential to understand signaling both in physiological and diseased situations. Context specific medium/high throughput proteomic data measured upon pertur...

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Bibliographic Details
Main Authors: Terfve, Camille (Author), Cokelaer, Thomas (Author), Henriques, David (Author), MacNamara, Aidan (Author), Goncalves, Emanuel (Author), Iersel, Martijn van (Author), Saez-Rodriguez, Julio (Author), Morris, Melody Kay (Contributor), Lauffenburger, Douglas A. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd, 2013-03-21T15:28:15Z.
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