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.


Reference manual

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0.1.1 by Yixuan Qiu, 10 months ago

Browse source code at

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