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CRAN: Package markerpen

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 (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 Documentation: Downloads: Linking:

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