ccRemover: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data

Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) <doi:10.1038/srep33892>. Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.

Version: 1.0.4
Depends: R (≥ 2.10.0)
Imports: stats, utils
Suggests: knitr, rmarkdown
Published: 2017-08-19
Author: Jun Li [aut, cre], Martin Barron [aut]
Maintainer: Jun Li <jun.li at nd.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: ccRemover results

Documentation:

Reference manual: ccRemover.pdf
Vignettes: sparseDC

Downloads:

Package source: ccRemover_1.0.4.tar.gz
Windows binaries: r-devel: ccRemover_1.0.4.zip, r-release: ccRemover_1.0.4.zip, r-oldrel: ccRemover_1.0.4.zip
macOS binaries: r-release (arm64): ccRemover_1.0.4.tgz, r-oldrel (arm64): ccRemover_1.0.4.tgz, r-release (x86_64): ccRemover_1.0.4.tgz
Old sources: ccRemover archive

Linking:

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