Package: scMerge Type: Package Title: scMerge: Merging multiple batches of scRNA-seq data Version: 1.29.1 Authors@R: c( person("Yingxin", "Lin", email = "yingxin.lin@sydney.edu.au", role = c("aut", "cre") ), person("Kevin", "Wang", email = "kevin.wang@sydney.edu.au", role = c("aut") ), person("Sydney Bioinformatics and Biometrics Group", email = "bioinformatics@maths.usyd.edu.au", role = c("fnd")) ) Description: 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. License: GPL-3 Encoding: UTF-8 LazyData: false Depends: R (>= 4.5.0) Imports: BiocGenerics, BiocParallel, BiocSingular, BiocNeighbors, cluster, DelayedArray, DelayedMatrixStats, distr, igraph, M3Drop, proxyC, ruv, cvTools, scater, batchelor, scran, methods, S4Vectors, SingleCellExperiment, SummarizedExperiment RoxygenNote: 7.2.3 Suggests: BiocStyle, covr, HDF5Array, knitr, Matrix, rmarkdown, scales, proxy, testthat, badger VignetteBuilder: knitr biocViews: BatchEffect, GeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics URL: https://github.com/SydneyBioX/scMerge BugReports: https://github.com/SydneyBioX/scMerge/issues Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-10-08 02:16:22 UTC RemoteUrl: https://github.com/bioc/scMerge RemoteRef: HEAD RemoteSha: 3ece494605942c319e688226cdaa370e33a15109 NeedsCompilation: no Packaged: 2026-10-08 09:17:27 UTC; root Author: Yingxin Lin [aut, cre], Kevin Wang [aut], Sydney Bioinformatics and Biometrics Group [fnd] Maintainer: Yingxin Lin