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It\ntakes into account the hierarchical nature of cell type\nrelationship and does not require training or annotated data. A\ndetailed description of the method can be found at: Michael\nPrummer, Anne Bertolini, Lars Bosshard, Florian Barkmann,\nJosephine Yates, Valentina Boeva, The Tumor Profiler Consortium\n, Daniel Stekhoven, Franziska Singer, scROSHI: robust\nsupervised hierarchical identification of single cells, NAR\nGenomics and Bioinformatics, Volume 5, Issue 2, June 2023,\nlqad058, .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "biocViews": "", "LazyDataCompression": "xz", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-11 15:01:39 UTC", "User": "root" }, "Author": "Lars Bosshard [aut] (ORCID:\n), Dominik Burri [aut,\ncre] (ORCID: ), Michael\nPrummer [aut] (ORCID: )", "Config/pak/sysreqs": "zlib1g-dev", "Repository": "https://dominikburri.r-universe.dev", "Date/Publication": "2026-09-09 14:43:10 UTC", "RemoteUrl": "https://github.com/cran/scROSHI", "RemoteRef": "HEAD", "RemoteSha": 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