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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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Literature Corpus work
d0e4133f-f388-584d-ba8e-dd5932a4e46e
DOI
10.1101/137513
Open publication

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Maximum Entropy Framework For Inference Of Cell Population Heterogeneity In Signaling NetworksDOI 10.1101/137513
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