EasyCellType

DOI: 10.18129/B9.bioc.EasyCellType    

This is the development version of EasyCellType; for the stable release version, see EasyCellType.

Annotate cell types for scRNA-seq data

Bioconductor version: Development (3.17)

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")):

Installation

To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")

 

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Details

biocViews GeneExpression, GeneSetEnrichment, SingleCell, Software
Version 1.1.0
In Bioconductor since BioC 3.16 (R-4.2) (< 6 months)
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
LinkingTo
Suggests knitr, rmarkdown, testthat (>= 3.0.0), Seurat, BiocManager, devtools
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package EasyCellType_1.1.0.tar.gz
Windows Binary EasyCellType_1.1.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git 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/
Package Downloads Report Download Stats

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