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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 |
| Reference manual: | ccRemover.pdf |
| Vignettes: |
sparseDC |
| 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, r-oldrel (x86_64): ccRemover_1.0.4.tgz |
| Old sources: | ccRemover archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.