{ "_id": "6a494b84f6c47c44194990da", "Package": "DEsingle", "Type": "Package", "Title": "DEsingle for detecting three types of differential expression in\nsingle-cell RNA-seq data", "Version": "1.33.0", "Date": "2018-12-01", "Author": "Zhun Miao ", "Maintainer": "Zhun Miao ", "Description": "DEsingle is an R package for differential expression (DE)\nanalysis of single-cell RNA-seq (scRNA-seq) data. It defines\nand detects 3 types of differentially expressed genes between\ntwo groups of single cells, with regard to different expression\nstatus (DEs), differential expression abundance (DEa), and\ngeneral differential expression (DEg). DEsingle employs\nZero-Inflated Negative Binomial model to estimate the\nproportion of real and dropout zeros and to define and detect\nthe 3 types of DE genes. 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": "2026-07-03 18:14:37 UTC", "User": "root" }, "_user": "bioc", "_type": "src", "_file": "DEsingle_1.33.0.tar.gz", "_fileid": "https://r2.ropensci.org/bf777bc36f3247a25c3ec3cb098b56d54fe3ab98624060b466789adc9c6d81d1", "_filesize": 199988, 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