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Furthermore, the VAE can use\nconditioning to produce specific cell types or subpopulations.\nThe conditional VAE (CVAE) allows us to create targeted samples\nrather than completely random ones.", "Version": "1.18.0", "Date": "2022-05-16", "Authors@R": "c(person(given=\"Dongmin\", family=\"Jung\", email=\"dmdmjung@gmail.com\", role=c(\"cre\", \"aut\"), comment = c(ORCID = \"0000-0001-7499-8422\")))", "License": "Artistic-2.0", "biocViews": "Software, GeneExpression, SingleCell", "NeedsCompilation": "no", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libfribidi-dev libglpk-dev make\nlibharfbuzz-dev default-jdk libicu-dev libjpeg-dev libpng-dev\nlibtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev\npython3 libx11-dev zlib1g-dev", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-04-28 12:56:36 UTC", "RemoteUrl": "https://github.com/bioc/VAExprs", "RemoteRef": "RELEASE_3_23", "RemoteSha": 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