Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Finding Stable Groups of Cross-Correlated Features in Two Data Sets With
  Common Samples   Data sets in which measurements of different types are obtained from a common
set of samples appear in many scientific applications. In the analysis of such
data, an important problem is to identify groups of features from different
data types that are strongly associated. Given two data types, a bimodule is a
pair $(A,B)$ of feature sets from the two types such that the aggregate
cross-correlation between the features in $A$ and those in $B$ is large. A
bimodule $(A,B)$ is stable if $A$ coincides with the set of features that have
significant aggregate correlation with the features in $B$, and vice-versa. We
develop an, iterative, testing-based procedure called BSP to identify stable
bimodules. BSP relies on approximate p-values derived from the permutation
moments of sums of squared sample correlations between a single feature of one
type and a group of features of the second type. We carry out a thorough
simulation study to assess the performance of BSP, and present an extended
application to the problem of expression quantitative trait loci (eQTL)
analysis using recent data from the GTEx project. In addition, we apply BSP to
climatology data to identify regions in North America where annual temperature
variation affects precipitation.

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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-th
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: chao-dyn
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The categories of this paper are: math
0
The categories of this paper are: hep-ph
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The categories of this paper are: physics
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The categories of this paper are: q-bio
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
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The categories of this paper are: q-alg
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The categories of this paper are: dg-ga
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The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: comp-gas