cor2.test

A method for identifying pattern changes between 2
experimental conditions in correlation networks (e.g., gene
co-expression networks), which builds on a commonly used association
measure, such as Pearson's correlation coefficient. This package
includes functions to calculate correlation matrices for
high-dimensional dataset and to test differential correlation, which
means the changes in the correlation relationship among variables
(e.g., genes and metabolites) between 2 experimental conditions.

Atsushi Fukushima

DiffCorr

Analyzing and Visualizing Differential Correlation Networks in
Biological Data

Kozo Nishida

cor2.test function

<dl><dt>n</dt>
<dd>the number of samples</dd>
<dt>r</dt>
<dd>the correlation coefficient</dd>
<dt>method</dt>
<dd>"pearson" and "spearman" can be used.</dd></dl>

Arguments

Author

Correlation Test — cor2.test

<dl>

<dt>n</dt>
<dd>the number of samples</dd>


<dt>r</dt>
<dd>the correlation coefficient</dd>


<dt>method</dt>
<dd>"pearson" and "spearman" can be used.</dd>

</dl>

cor2.test: Correlation Test

Description

Usage

Value

Arguments

Author

References

Examples