SUMO: Generating Multi-Omics Datasets

Designed to generate multi-omics datasets that closely reflect biological complexity, the package allows for testing, validation, and benchmarking of multi-omics integrative methods. The simulated data includes one or multiple predefined signals (latent/unobserved factors), giving users complete control over the data-generated characteristics. Tini, Giulia, et al (2019) <doi:10.1093/bib/bbx167>.

Version: 0.1.0
Imports: ggplot2, gridExtra, rlang
Suggests: testthat (≥ 3.0.0)
Published: 2024-10-22
DOI: 10.32614/CRAN.package.SUMO
Author: Bernard Isekah Osang'ir ORCID iD [aut, cre] (<https://orcid.org/0000-0002-5557-3602>), Bernard Isekah Osang'ir [aut]
Maintainer: Bernard Isekah Osang'ir <Bernard.Osangir at sckcen.be>
License: CC BY 4.0
NeedsCompilation: no
CRAN checks: SUMO results

Documentation:

Reference manual: SUMO.pdf

Downloads:

Package source: SUMO_0.1.0.tar.gz
Windows binaries: r-devel: SUMO_0.1.0.zip, r-release: SUMO_0.1.0.zip, r-oldrel: SUMO_0.1.0.zip
macOS binaries: r-release (arm64): SUMO_0.1.0.tgz, r-oldrel (arm64): SUMO_0.1.0.tgz, r-release (x86_64): SUMO_0.1.0.tgz, r-oldrel (x86_64): SUMO_0.1.0.tgz

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