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scMerge

scMerge: Merging multiple batches of scRNA-seq data

Bioconductor version: 3.23 · Package version: 1.28.0

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.

Installation

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

BiocManager::install("scMerge")

Details

MaintainerYingxin Lin <yingxin.lin@sydney.edu.au>
AuthorYingxin Lin [aut, cre], Kevin Wang [aut], Sydney Bioinformatics and Biometrics Group [fnd]
LicenseGPL-3
URLhttps://github.com/SydneyBioX/scMerge
Bug Reportshttps://github.com/SydneyBioX/scMerge/issues
Downloads rank623
Source branchRELEASE_3_23
biocViewsBatchEffect, GeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

Imports: BiocParallel, BiocSingular, BiocNeighbors, cluster, DelayedArray, DelayedMatrixStats, distr, igraph, M3Drop (>= 1.9.4), proxyC, ruv, cvTools, scater, batchelor, scran, methods, S4Vectors (>= 0.23.19), SingleCellExperiment (>= 1.7.3), SummarizedExperiment

Suggests: BiocStyle, covr, HDF5Array, knitr, Matrix, rmarkdown, scales, proxy, testthat, badger

Reverse dependencies

Imports Me (2): BatChef, singleCellTK

Suggests Me (1): Cepo