SydneyBioX/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.

Getting started

Package details

Bioconductor views BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics
Maintainer
LicenseGPL-3
Version1.7.1
URL https://github.com/SydneyBioX/scMerge
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SydneyBioX/scMerge")
SydneyBioX/scMerge documentation built on April 29, 2021, 6:24 p.m.