Package: OSAT
Type: Package
Title: OSAT: Optimal Sample Assignment Tool
Version: 1.60.0
Author: Li Yan
Maintainer: Li Yan <li.yan@roswellpark.org>
Depends: methods,stats
Suggests: xtable, Biobase
Description: A sizable genomics study such as microarray often involves
        the use of multiple batches (groups) of experiment due to
        practical complication. To minimize batch effects, a careful
        experiment design should ensure the even distribution of
        biological groups and confounding factors across batches. OSAT
        (Optimal Sample Assignment Tool) is developed to facilitate the
        allocation of collected samples to different batches. With
        minimum steps, it produces setup that optimizes the even
        distribution of samples in groups of biological interest into
        different batches, reducing the confounding or correlation
        between batches and the biological variables of interest. It
        can also optimize the even distribution of confounding factors
        across batches. Our tool can handle challenging instances where
        incomplete and unbalanced sample collections are involved as
        well as ideal balanced RCBD. OSAT provides a number of
        predefined layout for some of the most commonly used genomics
        platform. Related paper can be find at
        http://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
        gSetup-class.R gUtils.R
Packaged: 2026-04-29 23:42:47 UTC; root
biocViews: DataRepresentation, Visualization, ExperimentalDesign,
        QualityControl
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
Built: R 4.6.0; ; 2026-04-30 01:11:45 UTC; unix
