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How does multiple testing correction work?

Nature Biotechnology volume 27, pages 1135–1137 (2009)Cite this article

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?

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Figure 1: Associating confidence measures with CTCF binding motifs scanned along human chromosome 21.

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Acknowledgements

National Institutes of Health award P41 RR0011823.

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  1. William S. Noble is at the Department of Genome Sciences, Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.,

    William S Noble

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  1. William S Noble
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Correspondence to William S Noble.

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Noble, W. How does multiple testing correction work?. Nat Biotechnol 27, 1135–1137 (2009). https://doi.org/10.1038/nbt1209-1135

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