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