Bayesian Network Analysis of Signaling Networks: A Primer
- 26 April 2005
- journal article
- review article
- Published by American Association for the Advancement of Science (AAAS) in Science's STKE
- Vol. 2005 (281), 4
- https://doi.org/10.1126/stke.2812005pl4
Abstract
High-throughput proteomic data can be used to reveal the connectivity of signaling networks and the influences between signaling molecules. We present a primer on the use of Bayesian networks for this task. Bayesian networks have been successfully used to derive causal influences among biological signaling molecules (for example, in the analysis of intracellular multicolor flow cytometry). We discuss ways to automatically derive a Bayesian network model from proteomic data and to interpret the resulting model.Keywords
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