DOI: 10.18129/B9.bioc.spqn  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see spqn.

Spatial quantile normalization

Bioconductor version: 3.16

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.

Author: Yi Wang [cre, aut], Kasper Daniel Hansen [aut]

Maintainer: Yi Wang <yiwangthu5 at gmail.com>

Citation (from within R, enter citation("spqn")):


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biocViews GraphAndNetwork, NetworkInference, Normalization, Software
Version 1.10.0
In Bioconductor since BioC 3.11 (R-4.0) (3 years)
License Artistic-2.0
Depends R (>= 4.0), ggplot2, ggridges, SummarizedExperiment, BiocGenerics
Imports graphics, stats, utils, matrixStats
Suggests BiocStyle, knitr, rmarkdown, tools, spqnData(>= 0.99.3), RUnit
URL https://github.com/hansenlab/spqn
BugReports https://github.com/hansenlab/spqn/issues
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Source Package spqn_1.10.0.tar.gz
Windows Binary spqn_1.10.0.zip
macOS Binary (x86_64) spqn_1.10.0.tgz
macOS Binary (arm64) spqn_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/spqn
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/spqn
Bioc Package Browser https://code.bioconductor.org/browse/spqn/
Package Short Url https://bioconductor.org/packages/spqn/
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