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bioc
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 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.
Maintained by Aaron Lun. Last updated 19 days ago.
sequencingrnaseqsoftwaregeneexpressiontranscriptomicssinglecellbatcheffectnormalizationcpp
9.10 score 1.2k scripts 10 dependents