EasyCellType

DOI: 10.18129/B9.bioc.EasyCellType  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see EasyCellType.

Annotate cell types for scRNA-seq data

Bioconductor version: 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")

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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PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, GeneSetEnrichment, SingleCell, Software
Version 1.2.0
In Bioconductor since BioC 3.16 (R-4.2) (1 year)
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_1.2.0.tar.gz
Windows Binary EasyCellType_1.2.0.zip
macOS Binary (x86_64) EasyCellType_1.2.0.tgz
macOS Binary (arm64) EasyCellType_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EasyCellType
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EasyCellType
Bioc Package Browser https://code.bioconductor.org/browse/EasyCellType/
Package Short Url https://bioconductor.org/packages/EasyCellType/
Package Downloads Report Download Stats

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