build_scatter_plot

Helper function to build scatter plot (internal use)

internal

Provides tools to simulate multi-omics datasets with predefined signal structures. The generated data can be used for testing, validating, and benchmarking integrative analysis methods such as factor models and clustering approaches. This version includes enhanced signal customization, visualization tools (scatter, histogram, 3D), MOFA-based analysis pipelines, PowerPoint export, and statistical profiling of datasets. Designed for both method development and teaching, SUMO supports real and synthetic data pipelines with interpretable outputs. Tini, Giulia, et al (2019) <doi:10.1093/bib/bbx167>.

Bernard Isekah Osang'ir

SUMO

Generating Multi-Omics Datasets for Testing and Benchmarking

Ziv Shkedy

Surya Gupta

Jürgen Claesen

build_scatter_plot function

<dl><dt>df</dt>
<dd>Dataframe with features and weights</dd>
<dt>title</dt>
<dd>Plot title</dd>
<dt>show.legend</dt>
<dd>Logical to show legend</dd></dl>

Arguments

Helper function to build scatter plot (internal use) — build_scatter_plot

<dl>

<dt>df</dt>
<dd>Dataframe with features and weights</dd>


<dt>title</dt>
<dd>Plot title</dd>


<dt>show.legend</dt>
<dd>Logical to show legend</dd>

</dl>

build_scatter_plot: Helper function to build scatter plot (internal use)

Description

Usage

Arguments