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Nature Biotechnology In Nat Biotech, Vol. 27, No. 12. (01 December 2009), pp. 1135-1137, doi:10.1038/nbt1209-1135 Key: citeulike:6346339
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When prioritizing hits from a high-throughput experiment, it is important to correct for random events that falsely appear significant. How is this done and what methods should be used? Imagine that you have just invested a substantial amount of time and money in a shotgun proteomics experiment designed to identify proteins involved in a particular biological process. The experiment successfully identifies most of the proteins that you already know to be involved in the process and implicates a few more.
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