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DCATS

This is the released version of DCATS; for the devel version, see DCATS.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18

Differential Composition Analysis Transformed by a Similarity matrix


Bioconductor version: Release (3.23)

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 iD 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, enter citation("DCATS")):

Xinyi Lin, Chuen Chau, Yuanhua Huang, Joshua W.K. Ho. DCATS: Differential Composition Analysis Transformed by a Similarity matrix. doi:10.18129/B9.bioc.DCATS, R package version 1.10.0, https://bioconductor.org/packages/DCATS.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("DCATS")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DCATS")
Differential Composition Analysis with DCATS HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Normalization, SingleCell, Software
Version1.10.0
In Bioconductor sinceBioC 3.18 (R-4.3) (3 years)
License MIT + file LICENSE
Depends R (>= 4.1.0), stats
Imports MCMCpack, matrixStats, robustbase, aod, e1071
System Requirements
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Suggests testthat (>= 3.0.0), knitr, Seurat, SeuratObject, tidyverse, rmarkdown, BiocStyle
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Package Archives

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

Source Package DCATS_1.10.0.tar.gz
Windows Binary (x86_64) DCATS_1.10.0.zip
macOS Binary (big-sur-x86_64) DCATS_1.10.0.tgz
macOS Binary (sonoma-arm64) DCATS_1.10.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/DCATS
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DCATS
Package Short Url https://bioconductor.org/packages/DCATS/
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