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 a simple sparsity-preserving translation of the population means. Functions are also provided for 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 different batches.
|Author||Aaron Lun [aut, cre]|
|Bioconductor views||BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics|
|Maintainer||Aaron Lun <[email protected]>|
|Package repository||View on Bioconductor|
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