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EasyCellType

Annotate cell types for scRNA-seq data


Bioconductor version: Release (3.18)

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

Reference Manual PDF

Details

biocViews GeneExpression, GeneSetEnrichment, SingleCell, Software
Version 1.4.0
In Bioconductor since BioC 3.16 (R-4.2) (1.5 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
System Requirements
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Suggests knitr, rmarkdown, testthat (>= 3.0.0), Seurat, BiocManager, devtools
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Package Archives

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

Source Package
Windows Binary EasyCellType_1.4.0.zip
macOS Binary (x86_64) EasyCellType_1.4.0.tgz
macOS Binary (arm64) EasyCellType_1.4.0.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/
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