Package: SUMO 0.1.0

Bernard Isekah Osangir
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>.
Authors:
SUMO_0.1.0.tar.gz
SUMO_0.1.0.tar.gz(r-4.5-noble)SUMO_0.1.0.tar.gz(r-4.4-noble)
SUMO_0.1.0.tgz(r-4.4-emscripten)SUMO_0.1.0.tgz(r-4.3-emscripten)
SUMO.pdf |SUMO.html✨
SUMO/json (API)
# Install 'SUMO' in R: |
install.packages('SUMO', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:ce71382078. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 22 2025 |
R-4.5-linux | OK | Mar 22 2025 |
R-4.4-linux | OK | Mar 22 2025 |
Exports:divide_features_onedivide_features_twodivide_samplesdivide_vectorfeature_selection_onefeature_selection_twoOmixCraftHDplot_factorplot_simDataplot_weights
Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Citation
To cite package ‘SUMO’ in publications use:
Isekah Osang'ir B, Isekah Osang'ir B (2024). SUMO: Generating Multi-Omics Datasets. R package version 0.1.0, https://CRAN.R-project.org/package=SUMO.
Corresponding BibTeX entry:
@Manual{, title = {SUMO: Generating Multi-Omics Datasets}, author = {Bernard {Isekah Osang'ir} and Bernard {Isekah Osang'ir}}, year = {2024}, note = {R package version 0.1.0}, url = {https://CRAN.R-project.org/package=SUMO}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Dividing features to create vectors with signal in the first omic for single data | divide_features_one |
Dividing features to create vectors with signal in the second omic for single data | divide_features_two |
Global Variable | divide_samples |
Divide features into randomized subsets based on factor Segments | divide_vector |
Dividing features to create vectors with signal in the first omic | feature_selection_one |
Dividing features to create vectors with signal in the second omic | feature_selection_two |
Simulation of high-dimensional data with predefined single factor or multiple factors in multi-omics | OmixCraftHD |
Visualization of factor scores | plot_factor |
Visualizing the simulated data using image map and 3D visualization | plot_simData |
Visualizing the loading of the features | plot_weights |