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Results showed that DEsingle\noutperforms existing methods for scRNA-seq DE analysis, and can\nreveal different types of DE genes that are enriched in\ndifferent biological functions.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "URL": "https://miaozhun.github.io/DEsingle/", "biocViews": "DifferentialExpression, GeneExpression, SingleCell,\nImmunoOncology, RNASeq, Transcriptomics, Sequencing,\nPreprocessing, Software", "RoxygenNote": "6.0.1", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:47:40 UTC", "RemoteUrl": "https://github.com/bioc/DEsingle", "RemoteRef": "HEAD", "RemoteSha": "f478013f7131d27856ee3b1cab0048fae87a37f5", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-17 05:00:08 UTC", "User": "root" }, "_user": "bioc", "_type": "src", "_file": "DEsingle_1.33.0.tar.gz", "_fileid": "https://r2.ropensci.org/362cba4ebcaa70fd92c46d5a823e540cdb89c8befe7bd1fa3bce9d06d391ada0", "_filesize": 198865, 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