Package: quantro
Title: A test for when to use quantile normalization
Version: 1.16.0
Date: 2018-08-30
Author: Stephanie Hicks and Rafael Irizarry
Maintainer: Stephanie Hicks <shicks19@jhu.edu>
Imports: Biobase, minfi, doParallel, foreach, iterators, ggplot2,
        methods, RColorBrewer
Depends: R (>= 3.1.3)
Suggests: knitr, RUnit, BiocGenerics, BiocStyle
VignetteBuilder: knitr
Roxygen: list(wrap = FALSE)
Description: A data-driven test for the assumptions of
    quantile normalization using raw data such as objects
    that inherit eSets (e.g. ExpressionSet, MethylSet).
    Group level information about each sample (such as
    Tumor / Normal status) must also be provided because
    the test assesses if there are global differences in
    the distributions between the user-defined groups.
License: GPL (>=3)
biocViews: Normalization, Preprocessing, MultipleComparison,
        Microarray, Sequencing
RoxygenNote: 6.0.1
git_url: https://git.bioconductor.org/packages/quantro
git_branch: RELEASE_3_8
git_last_commit: cfc2e85
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: no
Packaged: 2018-10-31 00:38:15 UTC; biocbuild
Built: R 3.5.1; ; 2018-10-31 09:24:46 UTC; unix
