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
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
SydneyBioX/scMerge documentation built on May 28, 2022, 1:56 a.m.