Package: spqn
Title: Spatial quantile normalization
Version: 1.25.0
Description: The spqn package implements spatial quantile normalization
        (SpQN). This method was developed to remove a mean-correlation
        relationship in correlation matrices built from gene expression
        data. It can serve as pre-processing step prior to a
        co-expression analysis.
Authors@R: c(person("Yi", "Wang", role = c("cre", "aut"), email = "yiwangthu5@gmail.com"),
	     person(c("Kasper", "Daniel"), "Hansen", role = "aut"))
License: Artistic-2.0
Imports: graphics, stats, utils, matrixStats
Depends: R (>= 4.0), ggplot2, ggridges, SummarizedExperiment,
        BiocGenerics
Suggests: BiocStyle, knitr, rmarkdown, tools, spqnData (>= 0.99.3),
        RUnit
VignetteBuilder: knitr
URL: https://github.com/hansenlab/spqn
BugReports: https://github.com/hansenlab/spqn/issues
biocViews: NetworkInference, GraphAndNetwork, Normalization
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:52:29 UTC
RemoteUrl: https://github.com/bioc/spqn
RemoteRef: HEAD
RemoteSha: fb7533c4850a9714fa830599a5dd38474d8954aa
NeedsCompilation: no
Packaged: 2026-07-05 04:08:33 UTC; root
Author: Yi Wang [cre, aut],
  Kasper Daniel Hansen [aut]
Maintainer: Yi Wang <yiwangthu5@gmail.com>