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CHETAH

Fast and accurate scRNA-seq cell type identification

Bioconductor version: 3.23 · Package version: 1.28.0

CHETAH (CHaracterization of cEll Types Aided by Hierarchical classification) is an accurate, selective and fast scRNA-seq classifier. Classification is guided by a reference dataset, preferentially also a scRNA-seq dataset. By hierarchical clustering of the reference data, CHETAH creates a classification tree that enables a step-wise, top-to-bottom classification. Using a novel stopping rule, CHETAH classifies the input cells to the cell types of the references and to "intermediate types": more general classifications that ended in an intermediate node of the tree.

Installation

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

BiocManager::install("CHETAH")

Details

MaintainerJurrian de Kanter <jurriandekanter@gmail.com>
AuthorJurrian de Kanter [aut, cre], Philip Lijnzaad [aut]
Licensefile LICENSE
URLhttps://github.com/jdekanter/CHETAH
Bug Reportshttps://github.com/jdekanter/CHETAH
Downloads rank485
Source branchRELEASE_3_23
biocViewsClassification, Clustering, GeneExpression, ImmunoOncology, RNASeq, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCHETAH_1.28.0.tar.gz
Windows binary (x86_64)CHETAH_1.28.0.zip
macOS binary (arm64)CHETAH_1.28.0.tgz
macOS binary (x86_64)CHETAH_1.28.0.tgz
Dependencies

Depends: R (>= 4.2), ggplot2, SingleCellExperiment

Imports: shiny, plotly, pheatmap, bioDist, dendextend, cowplot, corrplot, grDevices, stats, graphics, reshape2, S4Vectors, SummarizedExperiment

Suggests: knitr, rmarkdown, Matrix, testthat, vdiffr

Reverse dependencies

Suggests Me (1): adverSCarial