kendall.w

Computes the Kendall's coefficient of concordance.

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

kendall.w function

<dl><dt>raw</dt>
<dd>A data frame or matrix contains n subjects * m raters.</dd>
<dt>correct</dt>
<dd>Logical. Indicates whether the W should be corrected for ties
within raters.</dd></dl>

Arguments

Kendall's coefficient of concordance W — kendall.w

<dl>

<dt>raw</dt>
<dd>A data frame or matrix contains n subjects * m raters.</dd>


<dt>correct</dt>
<dd>Logical. Indicates whether the W should be corrected for ties
within raters.</dd>

</dl>

kendall.w: Kendall's coefficient of concordance W

Description

Usage

Value

Arguments

Examples