d_genesC

Calculates differential network score for a set of genes

Integrates pathway information into the differential network analysis of two gene expression datasets as described in Grimes, Potter, and Datta (2019) <doi:10.1038/s41598-019-41918-3>. Provides summary functions to break down the results at the pathway, gene, or individual connection level. The differential networks for each pathway of interest can be plotted, and the visualization will highlight any differentially expressed genes and all of the gene-gene associations that are significantly differentially connected.

Tyler Grimes

dnapath

Differential Network Analysis using Gene Pathways

Somnath Datta

d_genesC function

<dl><dt>nw1</dt>
<dd>The association scores for network 1</dd>
<dt>nw2</dt>
<dd>The association scores for network 2</dd>
<dt>lp</dt>
<dd>The lp value to use.</dd></dl>

Arguments

C++ implementation of d_genes — d_genesC

<dl>

<dt>nw1</dt>
<dd>The association scores for network 1</dd>


<dt>nw2</dt>
<dd>The association scores for network 2</dd>


<dt>lp</dt>
<dd>The lp value to use.</dd>

</dl>

d_genesC: C++ implementation of d_genes

Description

Usage

Value

Arguments