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Sci. STKE, 26 April 2005
Vol. 2005, Issue 281, p. pl4
Bayesian Network Analysis of Signaling Networks: A Primer
Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
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.
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