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CellMentor employs a unique loss function\nthat simultaneously minimizes variation within known cell\npopulations while maximizing distinctions between different\ncell types, enabling effective transfer of learned patterns\nfrom labeled reference datasets to new unlabeled data.", "License": "Apache License (>= 2)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "biocViews": "Software, SingleCell, Transcriptomics, DimensionReduction", "URL": "https://github.com/petrenkokate/CellMentor", "BugReports": "https://github.com/petrenkokate/CellMentor/issues", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-05-25 16:23:09 UTC", "RemoteUrl": "https://github.com/bioc/CellMentor", "RemoteRef": "RELEASE_3_23", "RemoteSha": 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