_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-batchelor 1.24.0
Propagated dependencies: r-beachmat@2.24.0 r-biocgenerics@0.54.0 r-biocneighbors@2.2.0 r-biocparallel@1.42.0 r-biocsingular@1.24.0 r-delayedarray@0.34.1 r-delayedmatrixstats@1.30.0 r-igraph@2.1.4 r-matrix@1.7-3 r-rcpp@1.0.14 r-residualmatrix@1.18.0 r-s4vectors@0.46.0 r-scaledmatrix@1.16.0 r-scuttle@1.18.0 r-singlecellexperiment@1.30.1 r-sparsearray@1.8.0 r-summarizedexperiment@1.38.1
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://bioconductor.org/packages/batchelor
Licenses: GPL 3
Synopsis: Single-Cell Batch Correction Methods
Description:

This package 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.

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