{ "_id": "6a1ae6c71d7bb097a09f0aed", "Package": "scDesign3", "Type": "Package", "Title": "A unified framework of realistic in silico data generation and\nstatistical model inference for single-cell and spatial omics", "Version": "1.11.0", "Authors@R": "c(person(\"Dongyuan\", \"Song\", , \"dongyuansong@ucla.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1114-1215\")),\nperson(\"Qingyang\", \"Wang\", , \"qw802@g.ucla.edu\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-1051-609X\")),\nperson(\"Chenxin\", \"Jiang\", , \"cflorajiang@g.ucla.edu\", role = c(\"aut\"),\ncomment = c(ORCID = \"0009-0005-7369-4116\")))", "Description": "We present a statistical simulator, scDesign3, to generate\nrealistic single-cell and spatial omics data, including various\ncell states, experimental designs, and feature modalities, by\nlearning interpretable parameters from real data. Using a\nunified probabilistic model for single-cell and spatial omics\ndata, scDesign3 infers biologically meaningful parameters;\nassesses the goodness-of-fit of inferred cell clusters,\ntrajectories, and spatial locations; and generates in silico\nnegative and positive controls for benchmarking computational\ntools.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "false", "biocViews": "Software, SingleCell, Sequencing, GeneExpression, Spatial", "URL": "https://github.com/SONGDONGYUAN1994/scDesign3", "BugReports": "https://github.com/SONGDONGYUAN1994/scDesign3/issues", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libpng-dev libssl-dev python3 zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 13:01:55 UTC", "RemoteUrl": "https://github.com/bioc/scDesign3", "RemoteRef": "HEAD", "RemoteSha": "61b5ba54de139864ee166823ae4deb698cc443a5", "NeedsCompilation": "no", 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