add_expression

attach expression values from user-provided expression vector to graph.

Provides a general toolkit for drug target identification. We include functionality to reduce large graphs to subgraphs and prioritize nodes. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Weaver et al. (2021) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008755>.

Davis Weaver

crosstalkr

Analysis of Graph-Structured Data with a Focus on
Protein-Protein Interaction Networks

add_expression function

<dl><dt>exp</dt>
<dd>expression vector - assumed to be a named vector where the values are expression and the names are the gene name</dd>
<dt>g</dt>
<dd>igraph object - will be filtered so that only nodes found in both exp and g are kept</dd></dl>

Arguments

attach expression values from user-provided expression vector to graph. — add_expression

<dl>

<dt>exp</dt>
<dd>expression vector - assumed to be a named vector where the values are expression and the names are the gene name</dd>


<dt>g</dt>
<dd>igraph object - will be filtered so that only nodes found in both exp and g are kept</dd>

</dl>

add_expression: attach expression values from user-provided expression vector to graph.

Description

Usage

Value

Arguments