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.
|Bioconductor views||BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics|
|Package repository||View on GitHub|
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