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An implementation of a regularized regression prediction and empirical Bayes method to recover the true gene expression profile in noisy and sparse single-cell RNA-seq data. See Huang M, et al (2018) <doi:10.1038/s41592-018-0033-z> for more details.
Version: | 1.1.2 |
Depends: | R (≥ 3.0.1) |
Imports: | glmnet, foreach, methods, iterators, doParallel, Matrix |
Suggests: | knitr, rmarkdown |
Published: | 2019-11-13 |
DOI: | 10.32614/CRAN.package.SAVER |
Author: | Mo Huang [aut, cre], Nancy Zhang [aut], Mingyao Li [aut] |
Maintainer: | Mo Huang <mohuangx at gmail.com> |
BugReports: | https://github.com/mohuangx/SAVER/issues |
License: | GPL-2 |
URL: | https://github.com/mohuangx/SAVER |
NeedsCompilation: | no |
Citation: | SAVER citation info |
Materials: | README NEWS |
In views: | MissingData |
CRAN checks: | SAVER results |
Reference manual: | SAVER.pdf |
Vignettes: |
SAVER Tutorial |
Package source: | SAVER_1.1.2.tar.gz |
Windows binaries: | r-devel: SAVER_1.1.2.zip, r-release: SAVER_1.1.2.zip, r-oldrel: SAVER_1.1.2.zip |
macOS binaries: | r-release (arm64): SAVER_1.1.2.tgz, r-oldrel (arm64): SAVER_1.1.2.tgz, r-release (x86_64): SAVER_1.1.2.tgz, r-oldrel (x86_64): SAVER_1.1.2.tgz |
Old sources: | SAVER archive |
Reverse imports: | ADImpute, scRecover |
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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.