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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Bibliographic Details
Main Authors: Reshef, David N., Reshef, Yakir, Grossman, Sharon Rachel, Finucane, Hilary Kiyo, McVean, Gilean, Turnbaugh, Peter J., Mitzenmacher, Michael, Sabeti, Pardis C., Lander, Eric Steven
Other Authors: Whitaker College of Health Sciences and Technology
Format: Article
Language:en_US
Published: American Association for the Advancement of Science (AAAS) 2014
Online Access:http://hdl.handle.net/1721.1/84636
https://orcid.org/0000-0001-6463-4203
https://orcid.org/0000-0001-5410-7274
https://orcid.org/0000-0002-3355-6983

Internet

http://hdl.handle.net/1721.1/84636
https://orcid.org/0000-0001-6463-4203
https://orcid.org/0000-0001-5410-7274
https://orcid.org/0000-0002-3355-6983

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