{ "_id": "6a13ef50acfb0bcc41d2fbde", "Package": "OSAT", "Type": "Package", "Title": "OSAT: Optimal Sample Assignment Tool", "Version": "1.60.0", "Author": "Li Yan", "Maintainer": "Li Yan ", "Description": "A sizable genomics study such as microarray often involves\nthe use of multiple batches (groups) of experiment due to\npractical complication. To minimize batch effects, a careful\nexperiment design should ensure the even distribution of\nbiological groups and confounding factors across batches. OSAT\n(Optimal Sample Assignment Tool) is developed to facilitate the\nallocation of collected samples to different batches. With\nminimum steps, it produces setup that optimizes the even\ndistribution of samples in groups of biological interest into\ndifferent batches, reducing the confounding or correlation\nbetween batches and the biological variables of interest. It\ncan also optimize the even distribution of confounding factors\nacross batches. Our tool can handle challenging instances where\nincomplete and unbalanced sample collections are involved as\nwell as ideal balanced RCBD. OSAT provides a number of\npredefined layout for some of the most commonly used genomics\nplatform. Related paper can be find at\nhttp://www.biomedcentral.com/1471-2164/13/689 .", "URL": "http://www.biomedcentral.com/1471-2164/13/689", "License": "Artistic-2.0", "Collate": "AllClasses.R AllGenerics.R gAssembly-class.R gSample-class.R\ngSetup-class.R gUtils.R", "Packaged": { "Date": "2026-05-25 06:38:58 UTC", "User": "root" }, "biocViews": "DataRepresentation, Visualization, ExperimentalDesign,\nQualityControl", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-04-28 12:36:39 UTC", "RemoteUrl": "https://github.com/bioc/OSAT", "RemoteRef": "RELEASE_3_23", "RemoteSha": "06a9e90f06a5e5d2e109418aa8dabf8da74b1b07", "NeedsCompilation": "no", "MD5sum": "44c97cc0864c890fd1781213268e73c4", "_user": "bioc-release", "_type": "src", "_file": "OSAT_1.60.0.tar.gz", "_fileid": "6267dbd084cc1d07c1124f02105b5972509813663bd4c30696a6719a1752f2b0", "_filesize": 1121267, "_sha256": "6267dbd084cc1d07c1124f02105b5972509813663bd4c30696a6719a1752f2b0", "_created": 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