Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Testing for equal correlation matrices with application to paired gene
  expression data   We present a novel method for testing the hypothesis of equality of two
correlation matrices using paired high-dimensional datasets. We consider test
statistics based on the average of squares, maximum and sum of exceedances of
Fisher transform sample correlations and we derive approximate null
distributions using asymptotic and non-parametric distributions. Theoretical
results on the power of the tests are presented and backed up by a range of
simulation experiments. We apply the methodology to a case study of colorectal
tumour gene expression data with the aim of discovering biological pathway
lists of genes that present significantly different correlation matrices on
healthy and tumour samples. We find strong evidence for a large part of the
pathway lists correlation matrices to change among the two medical conditions.

11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th