 
  
 
   
   This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see spqn.
Bioconductor version: 3.13
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")):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("spqn")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("spqn")
    
| HTML | R Script | spqn User's Guide | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | GraphAndNetwork, NetworkInference, Normalization, Software | 
| Version | 1.4.0 | 
| In Bioconductor since | BioC 3.11 (R-4.0) (1.5 years) | 
| License | Artistic-2.0 | 
| Depends | R (>= 4.0), ggplot2, ggridges, SummarizedExperiment, BiocGenerics | 
| Imports | graphics, stats, utils, matrixStats | 
| LinkingTo | |
| Suggests | BiocStyle, knitr, rmarkdown, tools, spqnData(>= 0.99.3), RUnit | 
| SystemRequirements | |
| Enhances | |
| URL | https://github.com/hansenlab/spqn | 
| BugReports | https://github.com/hansenlab/spqn/issues | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | spqn_1.4.0.tar.gz | 
| Windows Binary | spqn_1.4.0.zip | 
| macOS 10.13 (High Sierra) | spqn_1.4.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/spqn | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/spqn | 
| Package Short Url | https://bioconductor.org/packages/spqn/ | 
| Package Downloads Report | Download Stats | 
 
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