NET-SYNTHESIS: A software for synthesis, inference and simplification of signal transduction networks

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Abstract

We present a software for combined synthesis, inference and simplification of signal transduction networks. The main idea of our method lies in representing observed indirect causal relationships as network paths and using techniques from combinatorial optimization to find the sparsest graph consistent with all experimental observations. We illustrate the biological usability of our software by applying it to a previously published signal transduction network and by using it to synthesize and simplify a novel network corresponding to activation-induced cell death in large granular lymphocyte leukemia. © The Author 2007. Published by Oxford University Press. All rights reserved.

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Kachalo, S., Zhang, R., Sontag, E., Albert, R., & DasGupta, B. (2008). NET-SYNTHESIS: A software for synthesis, inference and simplification of signal transduction networks. Bioinformatics, 24(2), 293–295. https://doi.org/10.1093/bioinformatics/btm571

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