get.lfdr

Getting local false discovery rate (lfdr) using 'fdrtool' package

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

get.lfdr function

<dl><dt>r</dt>
<dd>a vector of correlation coefficient under condition</dd></dl>

Arguments

Author

Getting local false discovery rate (lfdr) — get.lfdr

<dl>

<dt>r</dt>
<dd>a vector of correlation coefficient under condition</dd>

</dl>

get.lfdr: Getting local false discovery rate (lfdr)

Description

Usage

Value

Arguments

Author

References

Examples