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...
Main Authors: | Terfve, Camille, Cokelaer, Thomas, Henriques, David, MacNamara, Aidan, Goncalves, Emanuel, Iersel, Martijn van, Saez-Rodriguez, Julio, Morris, Melody Kay, Lauffenburger, Douglas A. |
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Other Authors: | Massachusetts Institute of Technology. Department of Biological Engineering |
Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2013
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Online Access: | http://hdl.handle.net/1721.1/77960 |
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