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

Differential Composition Analysis Transformed by a Similarity matrix

Bioconductor version: Development (3.20)

Methods to detect the differential composition abundances between conditions in singel-cell RNA-seq experiments, with or without replicates. It aims to correct bias introduced by missclaisification and enable controlling of confounding covariates. To avoid the influence of proportion change from big cell types, DCATS can use either total cell number or specific reference group as normalization term.

Author: Xinyi Lin [aut, cre] , Chuen Chau [aut], Yuanhua Huang [aut], Joshua W.K. Ho [aut]

Maintainer: Xinyi Lin <linxy29 at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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Differential Composition Analysis with DCATS HTML R Script
Reference Manual PDF


biocViews Normalization, SingleCell, Software
Version 1.3.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License MIT + file LICENSE
Depends R (>= 4.1.0), stats
Imports MCMCpack, matrixStats, robustbase, aod, e1071
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Suggests testthat (>= 3.0.0), knitr, Seurat, SeuratObject, tidyverse, rmarkdown, BiocStyle
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