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Implementation of the 'MarkerPen' algorithm, short for marker gene detection via penalized principal component analysis, described in the paper by Qiu, Wang, Lei, and Roeder (2020, <doi:10.1101/2020.11.07.373043>). 'MarkerPen' is a semi-supervised algorithm for detecting marker genes by combining prior marker information with bulk transcriptome data.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.1), RSpectra, stats |
LinkingTo: | Rcpp, RcppEigen, RSpectra |
Suggests: | knitr, rmarkdown, prettydoc, scales |
Published: | 2021-03-17 |
DOI: | 10.32614/CRAN.package.markerpen |
Author: | Yixuan Qiu, Jiebiao Wang, Jing Lei, and Kathryn Roeder |
Maintainer: | Yixuan Qiu <yixuan.qiu at cos.name> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Materials: | README NEWS |
In views: | Omics |
CRAN checks: | markerpen results |
Reference manual: | markerpen.pdf |
Vignettes: |
MarkerPen: Marker Gene Detection via Penalized Principal Component Analysis |
Package source: | markerpen_0.1.1.tar.gz |
Windows binaries: | r-devel: markerpen_0.1.1.zip, r-release: markerpen_0.1.1.zip, r-oldrel: markerpen_0.1.1.zip |
macOS binaries: | r-release (arm64): markerpen_0.1.1.tgz, r-oldrel (arm64): markerpen_0.1.1.tgz, r-release (x86_64): markerpen_0.1.1.tgz, r-oldrel (x86_64): markerpen_0.1.1.tgz |
Old sources: | markerpen 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.