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
| Maintainer | Yingxin Lin <yingxin.lin@sydney.edu.au> |
| Author | Yingxin Lin [aut, cre], Kevin Wang [aut], Sydney Bioinformatics and Biometrics Group [fnd] |
| License | GPL-3 |
| URL | https://github.com/SydneyBioX/scMerge |
| Bug Reports | https://github.com/SydneyBioX/scMerge/issues |
| Downloads rank | 623 |
| Source branch | RELEASE_3_23 |
| biocViews | BatchEffect, GeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
Documentation
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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