Article
Maximum Entropy Framework For Inference Of Cell Population Heterogeneity In Signaling Networks
2017-05-12
Abstract excerpt
Predictive models of signaling networks are essential tools for understanding cell population heterogeneity and designing rational interventions in disease. However, using network models to predict signaling dynamics heterogeneity is often challenging due to the extensive variability of signaling parameters across cell populations. Here, we describe a M aximum E ntropy-based f R amework for Inference of heterog...
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Identifiers and source
- Literature Corpus work
- d0e4133f-f388-584d-ba8e-dd5932a4e46e
- DOI
- 10.1101/137513
