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Implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.
Package details |
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Author | Aaron Lun [aut, cre], Laleh Haghverdi [ctb] |
Bioconductor views | BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics |
Maintainer | Aaron Lun <infinite.monkeys.with.keyboards@gmail.com> |
License | GPL-3 |
Version | 1.6.3 |
Package repository | View on Bioconductor |
Installation |
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