scMerge: scMerge: Merging multiple batches of scRNA-seq data

Like all gene expression data, single-cell RNA-seq (scRNA-Seq) 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 scRNA-Seq data. This package contains all the necessary functions in the scMerge pipeline, including the identification of SEGs, replication-identification methods, and merging of scRNA-Seq data.

Package details

AuthorYingxin Lin [aut, cre], Kevin Wang [aut], Sydney Bioinformatics and Biometrics Group [fnd]
Bioconductor views BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics
MaintainerYingxin Lin <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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scMerge documentation built on Nov. 8, 2020, 7:04 p.m.