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 = c('https://cran.r-universe.dev', '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 1 months agofrom:ce71382078. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
Exports:divide_features_onedivide_features_twodivide_samplesdivide_vectorfeature_selection_onefeature_selection_twoOmixCraftHDplot_factorplot_simDataplot_weights
Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
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 |