DOI: 10.18129/B9.bioc.DCATS  

Differential Composition Analysis Transformed by a Similarity matrix

Bioconductor version: Release (3.18)

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 connect.hku.hk>

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


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biocViews Normalization, SingleCell, Software
Version 1.0.0
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.1.0), stats
Imports MCMCpack, matrixStats, robustbase, aod, e1071
Suggests testthat (>= 3.0.0), knitr, Seurat, SeuratObject, tidyverse, rmarkdown, BiocStyle
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