beatAML

The Beat AML program produced a comprehensive dataset on acute myeloid leukemia (AML) that included genomic data (i.e., whole-exome sequencing and RNA sequencing), ex vivo drug response, and clinical data. We have included only the drug response data from this program in this package.

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

beatAML function

A tibble with three variables:<dl class="dl-horizontal">
<dt><code>inhibitor</code></dt><dd>names of inhibitors</dd>
<dt><code>patient_id</code></dt><dd>anonymous patient ID</dd>
<dt><code>median</code></dt><dd>the median of drug response at corresponding <code>inhibitor</code> and <code>patient_id</code></dd>
</dl>

Format

beatAML — beatAML

A tibble with three variables:<dl class='dl-horizontal'>
<dt><code>inhibitor</code></dt><dd>names of inhibitors</dd>
<dt><code>patient_id</code></dt><dd>anonymous patient ID</dd>
<dt><code>median</code></dt><dd>the median of drug response at corresponding <code>inhibitor</code> and <code>patient_id</code></dd>
</dl>

beatAML: beatAML

Description

Usage

Arguments

Format