Package: quantro
Title: A test for when to use quantile normalization
Version: 1.14.0
Date: 2017-10-23
Author: Stephanie Hicks and Rafael Irizarry
Maintainer: Stephanie Hicks <shicks@jimmy.harvard.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
NeedsCompilation: no
Packaged: 2018-05-01 00:04:02 UTC; biocbuild
Built: R 3.5.0; ; 2018-05-01 08:02:26 UTC; unix
