calculate_within

internal

It is a novel tool used to identify the candidate drugs against a particular disease based on the drug target set enrichment analysis. It assumes the most effective drugs are those with a closer affinity in the protein-protein interaction network to the specified disease. (See Gómez-Carballa et al. (2022) <doi: 10.1016/j.envres.2022.112890> and Feng et al. (2022) <doi: 10.7150/ijms.67815> for disease expression profiles; see Wishart et al. (2018) <doi: 10.1093/nar/gkx1037> and Gaulton et al. (2017) <doi: 10.1093/nar/gkw1074> for drug target information; see Kanehisa et al. (2021) <doi: 10.1093/nar/gkaa970> for the details of KEGG database.)

Junwei Han

DTSEA

Drug Target Set Enrichment Analysis

Yinchun Su

calculate_within function

<dl><dt>graph</dt>
<dd>The input graph object. It should be either an igraph object or
an edge list matrix / data frame.</dd>
<dt>given_set</dt>
<dd>The first gene set</dd></dl>

Arguments

Calculate within variance — calculate_within

<dl>

<dt>graph</dt>
<dd>The input graph object. It should be either an igraph object or
an edge list matrix / data frame.</dd>


<dt>given_set</dt>
<dd>The first gene set</dd>

</dl>

calculate_within: Calculate within variance

Description

Usage

Value

Arguments