Package: Nebulosa 1.17.0

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]

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Nebulosa.pdf |Nebulosa.html
Nebulosa/json (API)
NEWS

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

Peer review:

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

On BioConductor:Nebulosa-1.17.0(bioc 3.21)Nebulosa-1.16.0(bioc 3.20)

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

9.63 score 89 stars 518 scripts 1.9k downloads 3 mentions 1 exports 88 dependencies

Last updated 2 months agofrom:29d69232bc. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macNOTENov 29 2024
R-4.3-winNOTENov 29 2024
R-4.3-macNOTENov 29 2024

Exports:plot_density

Dependencies:abindaskpassbeeswarmBiobaseBiocGenericsCairoclicodetoolscolorspacecpp11crayoncurlDelayedArraydigestdotCall64fansifarverFNNfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggbeeswarmggplot2ggrastrglobalsgluegtablehttrIRangesisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelistenvmagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmgcvmimemulticoolmunsellmvtnormnlmeopensslparallellypatchworkpillarpkgconfigpngpracmaprogressrR6raggRColorBrewerRcppRcppEigenrlangS4ArraysS4VectorsscalesSeuratObjectSingleCellExperimentspspamSparseArraySummarizedExperimentsyssystemfontstextshapingtibbleUCSC.utilsutf8vctrsviporviridisLitewithrXVectorzlibbioc

Visualization of gene expression with Nebulosa

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2020-10-08
Started: 2020-07-27

Visualization of gene expression with Nebulosa (in Seurat)

Rendered fromnebulosa_seurat.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2020-08-18
Started: 2020-08-18

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