Package: Nebulosa 1.23.0

Jose Alquicira-Hernandez

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

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.

Authors:Jose Alquicira-Hernandez [aut, cre]

Nebulosa_1.23.0.tar.gz
Nebulosa_1.23.0.zip(r-4.7-any)Nebulosa_1.23.0.zip(r-4.6-any)Nebulosa_1.23.0.zip(r-4.5-any)
Nebulosa_1.23.0.tgz(r-4.6-any)Nebulosa_1.23.0.tgz(r-4.5-any)
Nebulosa_1.23.0.tar.gz(r-4.7-any)Nebulosa_1.23.0.tar.gz(r-4.6-any)
Nebulosa_1.23.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Nebulosa/json (API)

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

Bug tracker:https://github.com/powellgenomicslab/nebulosa/issues

On BioConductor:Nebulosa-1.23.0(bioc 3.24)Nebulosa-1.22.0(bioc 3.23)

softwaregeneexpressionsinglecellvisualizationdimensionreductionsingle-cellsingle-cell-analysissingle-cell-multiomicssingle-cell-rna-seq

9.25 score 116 stars 1 packages 788 scripts 2.4k downloads 3 mentions 1 exports 73 dependencies

Last updated from:3cd21b87ad. Checks:1 NOTE, 7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE221
linux-develWARNING429
source / vignettesERROR341
linux-releaseWARNING438
macos-releaseWARNING261
macos-oldrelWARNING164
windows-develWARNING265
windows-releaseWARNING243
windows-oldrelWARNING191
wasm-releaseOK179

Exports:plot_density

Dependencies:abindbase64encbeeswarmBiobaseBiocGenericsCairoclicodetoolscpp11DelayedArraydigestdotCall64farverFNNfuturefuture.applygenericsGenomicRangesggbeeswarmggplot2ggrastrglobalsgluegmpgtableIRangesisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelistenvMatrixMatrixGenericsmatrixStatsmclustmgcvmulticoolmvtnormnlmeparallellypatchworkpngpracmaprogressrR6raggRColorBrewerRcppRcppEigenrlangS4ArraysS4VectorsS7scalesSeqinfoSeuratObjectSingleCellExperimentspspamSparseArraystringiSummarizedExperimentsystemfontstextshapingvctrsviporviridisLitewithrXVector

Readme and manuals

Help Manual

Help pageTopics
Estimate weighted kernel densitycalculate_density
Plot gene-weighted 2D kernel densityplot_density plot_density,Seurat-method plot_density,SingleCellExperiment-method
Plot density estimatesplot_density_
Weighted 2D kernel density estimationwkde2d