Package: spqn 1.25.0

Yi Wang

spqn: Spatial quantile normalization

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

spqn_1.25.0.tar.gz
spqn_1.25.0.zip(r-4.7)spqn_1.25.0.zip(r-4.6)spqn_1.25.0.zip(r-4.5)
spqn_1.25.0.tgz(r-4.6-any)spqn_1.25.0.tgz(r-4.5-any)
spqn_1.25.0.tar.gz(r-4.7-any)spqn_1.25.0.tar.gz(r-4.6-any)
spqn_1.25.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spqn/json (API)
NEWS

# Install 'spqn' in R:
install.packages('spqn', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hansenlab/spqn/issues

On BioConductor:spqn-1.25.0(bioc 3.24)spqn-1.24.0(bioc 3.23)

networkinferencegraphandnetworknormalization

5.18 score 5 stars 30 scripts 324 downloads 5 exports 35 dependencies

Last updated from:fb7533c485. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE186
linux-devel-x86_64NOTE288
source / vignettesOK260
linux-release-x86_64NOTE322
macos-release-arm64NOTE180
macos-oldrel-arm64NOTE169
windows-develNOTE242
windows-releaseNOTE222
windows-oldrelNOTE259
wasm-releaseOK129

Exports:get_IQR_condition_expnormalize_correlationplot_IQR_condition_expplot_signal_condition_expqqplot_condition_exp

Dependencies:abindBiobaseBiocGenericsclicpp11DelayedArrayfarvergenericsGenomicRangesggplot2ggridgesgluegtableIRangesisobandlabelinglatticelifecycleMatrixMatrixGenericsmatrixStatsR6RColorBrewerrlangS4ArraysS4VectorsS7scalesSeqinfoSparseArraySummarizedExperimentvctrsviridisLitewithrXVector

Spatial quantile normalization for co-expression analysis

Yi Wang, Kasper D. Hansen

Rendered fromspqn.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2020-04-13
Started: 2019-10-13