Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions

Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions

Mathematical models have substantially improved our ability to predict the response of a complex biological system to perturbation, but their use is typically limited by difficulties in specifying model topology and parameter values. Additionally, incorporating entities across different biological s...

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Bibliographic Details
Main Authors: Morris, Melody Kay (Contributor), Sasisekharan, Ram (Contributor), Lauffenburger, Douglas A. (Contributor), Shriver, Zachary H. (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Cell Decision Process Center (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. School of Engineering (Contributor)
Format: Article
Language:English
Published: Wiley Blackwell, 2013-12-09T15:07:29Z.
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