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Bayesian Inference of Signaling Network Topology in a Cancer Cell Line

by: Steven M. Hill, Yiling Lu, Jennifer Molina, Laura M. Heiser, Paul T. Spellman, Terence P. Speed, Joe W. Gray, Gordon B. Mills, Sach Mukherjee
Bioinformatics, Vol. 28, No. 21. (01 November 2012), pp. 2804-2810, doi:10.1093/bioinformatics/bts514  Key: citeulike:11494819

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Abstract

Motivation: Protein signaling networks play a key role in cellular function, and their dysregulation is central to many diseases, including cancer. To shed light on signaling network topology in specific contexts, such as cancer, requires interrogation of multiple proteins through time and statistical approaches to make inferences regarding network structure.


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