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, ). 'MarkerPen' is a semi-supervised algorithm for detecting marker genes by combining prior marker information with bulk transcriptome data.


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install.packages("markerpen")

0.1.1 by Yixuan Qiu, 2 months ago


Browse source code at https://github.com/cran/markerpen


Authors: Yixuan Qiu , Jiebiao Wang , Jing Lei , and Kathryn Roeder


Documentation:   PDF Manual  


GPL license


Imports Rcpp, RSpectra, stats

Suggests knitr, rmarkdown, prettydoc, scales

Linking to Rcpp, RcppEigen, RSpectra

System requirements: C++11


See at CRAN