Detecting novel associations in large data sets

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Detecting novel associations in large data sets
Authors: David N. Reshef, Yakir A. Reshef, Hilary K. Finucane, Sharon R. Grossman, Gilean McVean, Peter J. Turnbaugh, Eric S. Lander, Michael Mitzenmacher, Pardis C. Sabeti
Citation: Science (New York, N.Y.) 334 (6062): 1518-1514. 2011 December
Database(s): Google Scholar cites PubMed (PMID/22174245)
DOI: 10.1126/science.1205438.
PMCID:3325791
Link(s): ftp://ftp-sop.inria.fr/abs/fcazals/courses/centrale2011-12-papers/MIC-correlations_learning-Reshef-Science2011.pdf
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Detecting novel associations in large data sets presents a measure for the dependence between two (continuous or ordered) variables: the maximal information coefficient (MIC).

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