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.

Package details

AuthorYixuan Qiu, Jiebiao Wang, Jing Lei, and Kathryn Roeder
MaintainerYixuan Qiu <yixuan.qiu@cos.name>
LicenseGPL
Version0.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("markerpen")

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markerpen documentation built on March 17, 2021, 1:05 a.m.