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EasyCellType

This is the released version of EasyCellType; for the devel version, see EasyCellType.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16

Annotate cell types for scRNA-seq data


Bioconductor version: Release (3.23)

We developed EasyCellType which can automatically examine the input marker lists obtained from existing software such as Seurat over the cell markerdatabases. Two quantification approaches to annotate cell types are provided: Gene set enrichment analysis (GSEA) and a modified versio of Fisher's exact test. The function presents annotation recommendations in graphical outcomes: bar plots for each cluster showing candidate cell types, as well as a dot plot summarizing the top 5 significant annotations for each cluster.

Author: Ruoxing Li [aut, cre, ctb], Ziyi Li [ctb]

Maintainer: Ruoxing Li <ruoxingli at outlook.com>

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

Ruoxing Li. EasyCellType: Annotate cell types for scRNA-seq data. doi:10.18129/B9.bioc.EasyCellType, R package version 1.13.0, https://bioconductor.org/packages/EasyCellType.

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")

BiocManager::install("EasyCellType")

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("EasyCellType")
my-vignette HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews GeneExpression, GeneSetEnrichment, SingleCell, Software
Version1.13.0
In Bioconductor sinceBioC 3.16 (R-4.2) (4 years)
License Artistic-2.0
Depends R (>= 4.2.0)
Imports clusterProfiler, dplyr, forcats, ggplot2, magrittr, rlang, stats, org.Hs.eg.db, org.Mm.eg.db, AnnotationDbi, vctrs (>= 0.6.4), BiocStyle
System Requirements
URL
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0), Seurat, BiocManager, devtools, BiocStyle
Linking To
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Depends On Me
Imports Me
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Package Archives

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

Source Package EasyCellType_1.13.0.tar.gz
Windows Binary (x86_64) EasyCellType_1.14.0.zip
macOS Binary (big-sur-x86_64) EasyCellType_1.14.0.tgz
macOS Binary (sonoma-arm64) EasyCellType_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/EasyCellType
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/EasyCellType
Package Short Url https://bioconductor.org/packages/EasyCellType/
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