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SpaNorm

This is the development version of SpaNorm; for the stable release version, see SpaNorm.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20

Spatially-aware normalisation for spatial transcriptomics data


Bioconductor version: Development (3.24)

This package implements the spatially aware library size normalisation algorithm, SpaNorm. SpaNorm normalises out library size effects while retaining biology through the modelling of smooth functions for each effect. Normalisation is performed in a gene- and cell-/spot- specific manner, yielding library size adjusted data.

Author: Dharmesh D. Bhuva [aut, cre] ORCID iD ORCID: 0000-0002-6398-9157 , Agus Salim [aut] ORCID iD ORCID: 0000-0003-3999-7701 , Ahmed Mohamed [aut] ORCID iD ORCID: 0000-0001-6507-5300

Maintainer: Dharmesh D. Bhuva <dharmesh.bhuva at adelaide.edu.au>

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

Dharmesh D. Bhuva, Agus Salim, Ahmed Mohamed. SpaNorm: Spatially-aware normalisation for spatial transcriptomics data. doi:10.18129/B9.bioc.SpaNorm, R package version 1.7.4, https://bioconductor.org/packages/SpaNorm.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("SpaNorm")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SpaNorm")
SpaNorm HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews CellBiology, GeneExpression, Software, Spatial, Transcriptomics
Version1.7.4
In Bioconductor sinceBioC 3.20 (R-4.4) (2 years)
License GPL (>= 3)
Depends R (>= 4.4)
Imports edgeR, ggplot2, Matrix, matrixStats, methods, rlang, scran, SeuratObject, SingleCellExperiment, SpatialExperiment, stats, SummarizedExperiment, S4Vectors, utils, BiocParallel, BiocSingular, DelayedArray
System Requirements
URLhttps://bhuvad.github.io/SpaNorm
Bug Reportshttps://github.com/bhuvad/SpaNorm/issues
See More
Suggests testthat (>= 3.0.0), knitr, rmarkdown, prettydoc, pkgdown, covr, BiocStyle, scater, Seurat (>= 5.0.0), patchwork, ggforce, ggnewscale, torch
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SpaNorm_1.7.4.tar.gz
Windows Binary (x86_64) SpaNorm_1.7.4.zip
macOS Binary (big-sur-x86_64) SpaNorm_1.7.4.tgz
macOS Binary (sonoma-arm64) SpaNorm_1.7.4.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SpaNorm
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SpaNorm
Package Short Url https://bioconductor.org/packages/SpaNorm/
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