This is the development version of DCATS; for the stable release version, see DCATS.
Differential Composition Analysis Transformed by a Similarity matrixBioconductor version: Development (3.22)
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] ORCID: 0000-0002-7780-2461 , Chuen Chau [aut], Yuanhua Huang [aut], Joshua W.K. Ho [aut]
Maintainer: Xinyi Lin <linxy29 at connect.hku.hk>
Citation (from within R, entercitation("DCATS")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("DCATS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DCATS")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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