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spqn

Spatial quantile normalization

Bioconductor version: 3.23 · Package version: 1.24.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("spqn")

Details

MaintainerYi Wang <yiwangthu5@gmail.com>
AuthorYi Wang [cre, aut], Kasper Daniel Hansen [aut]
LicenseArtistic-2.0
URLhttps://github.com/hansenlab/spqn
Bug Reportshttps://github.com/hansenlab/spqn/issues
Downloads rank275
Source branchRELEASE_3_23
biocViewsGraphAndNetwork, NetworkInference, Normalization, Software

Documentation

Download

Dependencies

Depends: R (>= 4.0), ggplot2, ggridges, SummarizedExperiment, BiocGenerics

Imports: graphics, stats, utils, matrixStats

Suggests: BiocStyle, knitr, rmarkdown, tools, spqnData (>= 0.99.3), RUnit