A TESTING BASED APPROACH TO THE DISCOVERY OF DIFFERENTIALLY CORRELATED VARIABLE SETS.
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ABSTRACT:
SUBMITTER: Bodwin BK
PROVIDER: S-EPMC6927674 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Publications
A TESTING BASED APPROACH TO THE DISCOVERY OF DIFFERENTIALLY CORRELATED VARIABLE SETS.
Bodwin By Kelly BK Zhang Kai K Nobel Andrew A
The annals of applied statistics 20180601 2
Given data obtained under two sampling conditions, it is often of interest to identify variables that behave differently in one condition than in the other. We introduce a method for differential analysis of second-order behavior called Differential Correlation Mining (DCM). The DCM method identifies differentially correlated sets of variables, with the property that the average pairwise correlation between variables in a set is higher under one sample condition than the other. DCM is based on a ...[more]
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