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scMerge
This is the released version of scMerge; for the devel version, see scMerge.
scMerge: Merging multiple batches of scRNA-seq data
Bioconductor version: Release (3.22)
Like all gene expression data, single-cell data suffers from batch effects and other unwanted variations that makes accurate biological interpretations difficult. The scMerge method leverages factor analysis, stably expressed genes (SEGs) and (pseudo-) replicates to remove unwanted variations and merge multiple single-cell data. This package contains all the necessary functions in the scMerge pipeline, including the identification of SEGs, replication-identification methods, and merging of single-cell data.
Author: Yingxin Lin [aut, cre], Kevin Wang [aut], Sydney Bioinformatics and Biometrics Group [fnd]
Maintainer: Yingxin Lin <yingxin.lin at sydney.edu.au>
citation("scMerge")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scMerge")
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("scMerge")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.