calc_dnp_i

helper function to calculate dnp for one sample

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

calc_dnp_i function

<dl><dt>df</dt>
<dd>dataframe with one cell line + log expression</dd>
<dt>g</dt>
<dd>igraph object containing ppi info</dd>
<dt>v_rm</dt>
<dd>passed to <code>node_repression()</code></dd>
<dt>keep_all</dt>
<dd>logical flag denoting if we should keep genes that we didn't calculate dnp for</dd></dl>

Arguments

helper function to calculate dnp for one sample — calc_dnp_i

<dl>

<dt>df</dt>
<dd>dataframe with one cell line + log expression</dd>


<dt>g</dt>
<dd>igraph object containing ppi info</dd>


<dt>v_rm</dt>
<dd>passed to <code>node_repression()</code></dd>


<dt>keep_all</dt>
<dd>logical flag denoting if we should keep genes that we didn't calculate dnp for</dd>

</dl>

calc_dnp_i: helper function to calculate dnp for one sample

Description

Usage

Value

Arguments