Package: markerpen
Type: Package
Title: Marker Gene Detection via Penalized Principal Component Analysis
Version: 0.1.1
Date: 2021-03-14
Author: Yixuan Qiu, Jiebiao Wang, Jing Lei, and Kathryn Roeder
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Description: 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.
License: GPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.1), RSpectra, stats
LinkingTo: Rcpp, RcppEigen, RSpectra
Suggests: knitr, rmarkdown, prettydoc, scales
SystemRequirements: C++11
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-03-14 11:41:12 UTC; qyx
Repository: CRAN
Date/Publication: 2021-03-17 00:30:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 01:37:38 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
