drugComb

DrugComb is a web-based portal for storing and analyzing drug combination screening datasets, containing 739,964 drug combination experiments across 2320 cancer cell lines and 8397 drugs. Single drug screening was extracted and provided here as a subset of drug combination experiments.

datasets

Functions for nominal data mining based on bipartite graphs, which build a pipeline for analysis and missing values imputation. Methods are mainly from the paper: Jafari, Mohieddin, et al. (2021) <doi:10.1101/2021.03.18.436040>, some new ones are also included.

Mohieddin Jafari

NIMAA

Nominal Data Mining Analysis

Cheng Chen

Zangene Ehsan

drugComb function

A tibble with three variables:<dl>
<dt><code>inhibitor</code></dt>
<dd>names of inhibitors</dd><dt><code>cell_line</code></dt>
<dd>cell_line for each <code>inhibitor</code></dd><dt><code>median</code></dt>
<dd>the median of drug response at corresponding <code>inhibitor</code> and <code>cell_line</code></dd>
</dl>

Format

drugComb — drugComb

A tibble with three variables:<dl>
<dt><code>inhibitor</code></dt>
<dd>names of inhibitors</dd>

<dt><code>cell_line</code></dt>
<dd>cell_line for each <code>inhibitor</code></dd>

<dt><code>median</code></dt>
<dd>the median of drug response at corresponding <code>inhibitor</code> and <code>cell_line</code></dd>


</dl>

drugComb: drugComb

Description

Usage

Arguments

Format