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markerpen  

Marker Gene Detection via Penalized Principal Component Analysis
View on CRAN: Click here


Download and install markerpen package within the R console
Install from CRAN:
install.packages("markerpen")

Install from Github:
library("remotes")
install_github("cran/markerpen")

Install by package version:
library("remotes")
install_version("markerpen", "0.1.1")



Attach the package and use:
library("markerpen")
Maintained by
Yixuan Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-11
Latest Update: 2021-03-17
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, ). 'MarkerPen' is a semi-supervised algorithm for detecting marker genes by combining prior marker information with bulk transcriptome data.
How to cite:
Yixuan Qiu (2021). markerpen: Marker Gene Detection via Penalized Principal Component Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/markerpen
Previous versions and publish date:
0.1.0 (2021-03-11 11:30)
Other packages that cited markerpen R package
View markerpen citation profile
Other R packages that markerpen depends, imports, suggests or enhances
Functions, R codes and Examples using the markerpen R package
Some associated functions: gene_mapping . pca_pen . refine_markers . sort_markers . 
Some associated R codes: RcppExports.R . gene_mapping.R . pca_pen.R . refine_markers.R . sort_markers.R .  Full markerpen package functions and examples
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