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
 [aut, cre],
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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