Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data

Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data

We present a method for automatically discovering signaling pathways from time-resolved phosphoproteomic data. The Temporal Pathway Synthesizer (TPS) algorithm uses constraint-solving techniques first developed in the context of formal verification to explore paths in an interaction network. It syst...

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Bibliographic Details
Main Authors: Köksal, Ali Sinan (Author), Beck, Kirsten (Author), Cronin, Dylan R. (Author), Camp, Nathan D. (Author), MacGilvray, Matthew E. (Author), Bodík, Rastislav (Author), Fisher, Jasmin (Author), McKenna, Aaron (Contributor), Srivastava, Saurabh (Contributor), Wolf Yadlin, Alejandro Marcelo (Contributor), Fraenkel, Ernest (Contributor), Gitter, Anthony (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor)
Format: Article
Language:English
Published: Elsevier, 2018-10-22T18:08:46Z.
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