SAVER: Single-Cell RNA-Seq Gene Expression Recovery

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
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

Documentation:

Reference manual: SAVER.pdf
Vignettes: SAVER Tutorial

Downloads:

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
Old sources: SAVER archive

Reverse dependencies:

Reverse imports: ADImpute, scRecover

Linking:

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