gfilter.ct

Method to filter the graph based on parameters passed to compute_crosstalk

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

gfilter.ct function

<dl><dt>seeds</dt>
<dd>vector (str or numeric) user provided vertex ids to use as seeds in the random walk with restarts'</dd>
<dt>return_df</dt>
<dd>bool should we return a list containing the filtered graph + the RWR output that was used to do the filtering?</dd>
<dt>...</dt>
<dd>additional arguments passed to <code>compute_crosstalk()</code></dd></dl>

Arguments

Method to filter the graph based on parameters passed to compute_crosstalk — gfilter.ct

<dl>

<dt>seeds</dt>
<dd>vector (str or numeric) user provided vertex ids to use as seeds in the random walk with restarts'</dd>


<dt>return_df</dt>
<dd>bool should we return a list containing the filtered graph + the RWR output that was used to do the filtering?</dd>


<dt>...</dt>
<dd>additional arguments passed to <code>compute_crosstalk()</code></dd>

</dl>

gfilter.ct: Method to filter the graph based on parameters passed to compute_crosstalk

Description

Usage

Value

Arguments