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T-Cell Signaling Pathways Decoded In Silico
Bayesian network inference culls causal relationships from large biological data sets
The Scientist 2005, 19(15):30
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Researchers have spent decades determining how proteins interact with each other in complex signaling networks by studying these relationships one at a time in isolation. This approach may have been necessary, but the resulting maps are accordingly suspect. "The average signaling map is a composite of data from everything from nematodes to yeast ... and although we draw an arrow between two molecules, whether it works in any given cell type and the strength, and timing and conditions are very contextual," says Stanford University researcher Garry Nolan.
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