calc_np_i

helper function to calculate np 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_np_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></dl>

Arguments

helper function to calculate np for one sample — calc_np_i

<dl>

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


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

</dl>

calc_np_i: helper function to calculate np for one sample

Description

Usage

Value

Arguments