{ "_id": "6a101d45acfb0bcc41c8a132", "Package": "SUMO", "Title": "Generating Multi-Omics Datasets for Testing and Benchmarking", "Version": "1.2.3", "Authors@R": "c(\nperson(given = \"Bernard Isekah\", family = \"Osang'ir\", email = \"Bernard.Osangir@sckcen.be\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-5557-3602\")),\nperson(\"Ziv\", \"Shkedy\", role = \"ctb\"),\nperson(\"Surya\", \"Gupta\", role = \"ctb\"),\nperson(\"Jürgen\", \"Claesen\", role = \"ctb\")\n)", "Description": "Provides tools to simulate multi-omics datasets with\npredefined signal structures. The generated data can be used\nfor testing, validating, and benchmarking integrative analysis\nmethods such as factor models and clustering approaches. This\nversion includes enhanced signal customization, visualization\ntools (scatter, histogram, 3D), MOFA-based analysis pipelines,\nPowerPoint export, and statistical profiling of datasets.\nDesigned for both method development and teaching, SUMO\nsupports real and synthetic data pipelines with interpretable\noutputs. 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