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Nebulosa

This is thereleased version of Nebulosa; for the devel version, seeNebulosa.

Single-Cell Data Visualisation Using Kernel Gene-Weighted Density Estimation

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DOI: 10.18129/B9.bioc.Nebulosa


Bioconductor version: Release (3.22)

This package provides a enhanced visualization of single-cell data based on gene-weighted density estimation. Nebulosa recovers the signal from dropped-out features and allows the inspection of the joint expression from multiple features (e.g. genes). Seurat and SingleCellExperiment objects can be used within Nebulosa.

Author: Jose Alquicira-Hernandez [aut, cre]ORCID iD ORCID: 0000-0002-9049-7780

Maintainer: Jose Alquicira-Hernandez <alquicirajose at gmail.com>

Citation (from within R, entercitation("Nebulosa")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("Nebulosa")
Visualization of gene expression with NebulosaHTMLR Script
Visualization of gene expression with Nebulosa (in Seurat)HTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDimensionReduction,GeneExpression,SingleCell,Software,Visualization
Version1.20.0
In Bioconductor sinceBioC 3.12 (R-4.0) (5 years)
LicenseGPL-3
DependsR (>= 4.0),ggplot2,patchwork
ImportsSingleCellExperiment,SummarizedExperiment,SeuratObject,ks,Matrix, stats, methods,ggrastr
System Requirements
URLhttps://github.com/powellgenomicslab/Nebulosa
Bug Reportshttps://github.com/powellgenomicslab/Nebulosa/issues
See More
Suggeststestthat,BiocStyle,knitr,rmarkdown,covr,scater,scran,DropletUtils,igraph,BiocFileCache,Seurat
Linking To
Enhances
Depends On Me
Imports Me
Suggests MescCustomize,SCpubr
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageNebulosa_1.20.0.tar.gz
Windows Binary (x86_64) Nebulosa_1.20.0.zip
macOS Binary (x86_64)Nebulosa_1.20.0.tgz
macOS Binary (arm64)Nebulosa_1.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/Nebulosa
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/Nebulosa
Bioc Package Browserhttps://code.bioconductor.org/browse/Nebulosa/
Package Short Urlhttps://bioconductor.org/packages/Nebulosa/
Package Downloads ReportDownload Stats

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