Detecting Novel Associations in Large Data Sets

Detecting Novel Associations in Large Data Sets

Identifying interesting relationships between pairs of variables in large data sets is increasingly important. Here, we present a measure of dependence for two-variable relationships: the maximal information coefficient (MIC). MIC captures a wide range of associations both functional and not, and fo...

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Main Authors: Reshef, David N. (Contributor), Reshef, Yakir (Contributor), Grossman, Sharon Rachel (Contributor), Finucane, Hilary Kiyo (Author), McVean, Gilean (Author), Turnbaugh, Peter J. (Author), Mitzenmacher, Michael (Author), Sabeti, Pardis C. (Author), Lander, Eric Steven (Author)
Other Authors: Whitaker College of Health Sciences and Technology (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Lander, Eric S. (Contributor)
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS), 2014-02-03T13:18:52Z.
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