plot_factor

Scatter or histogram plots of sample-level factor scores from simulated multi-omics data, using scores from list_alphas and list_gammas.

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

plot_factor function

<dl><dt>sim_object</dt>
<dd>R object containing simulated data output from <code>simulate_twoOmicsData</code> and <code>simulateMultiOmics</code>.</dd>
<dt>factor_num</dt>
<dd>Integer or "all". Which factor(s) to plot.</dd>
<dt>type</dt>
<dd>Character. Either "scatter" (default) or "histogram" for plot type.</dd>
<dt>show.legend</dt>
<dd>Logical. Whether to show legend in plots. Default is TRUE.</dd></dl>

Arguments

Visualization of factor scores  (ground truth) — plot_factor

<dl>

<dt>sim_object</dt>
<dd>R object containing simulated data output from <code>simulate_twoOmicsData</code> and <code>simulateMultiOmics</code>.</dd>


<dt>factor_num</dt>
<dd>Integer or "all". Which factor(s) to plot.</dd>


<dt>type</dt>
<dd>Character. Either "scatter" (default) or "histogram" for plot type.</dd>


<dt>show.legend</dt>
<dd>Logical. Whether to show legend in plots. Default is TRUE.</dd>

</dl>

plot_factor: Visualization of factor scores (ground truth)

Description

Usage

Arguments

Examples