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README.md
# Nebulosa <img src="man/figure/logo.png" align="right" height="280"/> [![](https://img.shields.io/badge/download-130/total-blue.svg)](https://bioconductor.org/packages/stats/bioc/Nebulosa) [![Build Status](https://travis-ci.org/powellgenomicslab/Nebulosa.svg?branch=master)](https://travis-ci.org/powellgenomicslab/Nebulosa) ![https://www.tidyverse.org/lifecycle/#maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg) ## Motivation Due to the sparsity observed in single-cell data (e.g. RNA-seq, ATAC-seq), the visualization of cell features (e.g. gene, peak) is frequently affected and unclear, especially when it is overlaid with clustering to annotate cell types. Nebulosa is an R package to visualize data from single cells based on kernel density estimation. It aims to recover the signal from dropped-out features by incorporating the similarity between cells allowing a “convolution” of the cell features. ## Installation `Nebulosa` is available on `Bioconductor` and can be installed as follows: ```R if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Nebulosa") ``` See [Nebulosa](https://bioconductor.org/packages/devel/bioc/html/Nebulosa.html) for more details. You can install the developing version of `Nebulosa` from github via `devtools`: ```R devtools::install_github("powellgenomicslab/Nebulosa") ``` ## Vignettes Nebulosa can use `Seurat` and `SingleCellExperiment` objects. See the corresponding vignette: - [Seurat](https://bioconductor.org/packages/devel/bioc/vignettes/Nebulosa/inst/doc/nebulosa_seurat.html) - [OSCA-Bioconductor](https://bioconductor.org/packages/devel/bioc/vignettes/Nebulosa/inst/doc/introduction.html)