markerpen: Marker Gene Detection via Penalized Principal Component Analysis
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 (2021, <doi:10.1093/bioinformatics/btab257>). 'MarkerPen' is a semi-supervised algorithm for detecting marker genes by combining prior marker information with bulk transcriptome data.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.3.0) |
| Imports: | Rcpp (≥ 1.0.1),RSpectra, stats |
| LinkingTo: | Rcpp,RcppEigen,RSpectra |
| Suggests: | knitr,rmarkdown,prettydoc,scales |
| Published: | 2025-12-14 |
| DOI: | 10.32614/CRAN.package.markerpen |
| Author: | Yixuan Qiu [aut, cre], Jiebiao Wang [aut], Jing Lei [aut], Kathryn Roeder [aut] |
| Maintainer: | Yixuan Qiu <yixuan.qiu at cos.name> |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| In views: | Omics |
| CRAN checks: | markerpen results |
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