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Furthermore, Sincell contributes new algorithms to\nprovide cell-state hierarchies with statistical support while\naccounting for stochastic factors in single-cell RNA seq.\nGraphical representations and functional association tests are\nprovided to interpret hierarchies.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "URL": "http://bioconductor.org/", "VignetteBuilder": "knitr", "biocViews": "ImmunoOncology, Sequencing, RNASeq, Clustering,\nGraphAndNetwork, Visualization, GeneExpression,\nGeneSetEnrichment, BiomedicalInformatics, CellBiology,\nFunctionalGenomics, SystemsBiology", "Packaged": { "Date": "2026-10-11 15:20:10 UTC", "User": "root" }, "Config/pak/sysreqs": "libglpk-dev libicu-dev libxml2-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:40:32 UTC", "RemoteUrl": "https://github.com/bioc/sincell", "RemoteRef": "HEAD", "RemoteSha": "99d31de7915953ff4c85bd5bb4c8d985be494c57", "NeedsCompilation": "yes", "_user": "bioc", "_type": "src", 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