batchelor: Single-Cell Batch Correction Methods

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.

Package details

AuthorAaron Lun [aut, cre]
Bioconductor views BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics
MaintainerAaron Lun <[email protected]>
Package repositoryView on Bioconductor
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batchelor documentation built on May 25, 2019, 2:02 a.m.