get.eigen.molecule.graph

Getting graph from eigengene module list

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.eigen.molecule.graph function

<dl><dt>eigen.list</dt>
<dd>the resulting vector from get.eigen.molecule</dd>
<dt>label</dt>
<dd>a label of module extracted (default: "Module")</dd></dl>

Arguments

Author

Getting graph from eigengene module list — get.eigen.molecule.graph

<dl>

<dt>eigen.list</dt>
<dd>the resulting vector from get.eigen.molecule</dd>


<dt>label</dt>
<dd>a label of module extracted (default: "Module")</dd>

</dl>

get.eigen.molecule.graph: Getting graph from eigengene module list

Description

Usage

Value

Arguments

Author

Examples