This is the development version of spqn; for the stable release version, see spqn.
Spatial quantile normalizationBioconductor version: Development (3.22)
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, entercitation("spqn")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("spqn")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("spqn")
Details biocViews GraphAndNetwork, NetworkInference, Normalization, Software Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (5 years) License Artistic-2.0 Depends R (>= 4.0), ggplot2, ggridges, SummarizedExperiment, BiocGenerics Imports graphics, stats, utils, matrixStats System Requirements URL https://github.com/hansenlab/spqn Bug Reports https://github.com/hansenlab/spqn/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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