Package: markerpen 0.1.1

Yixuan Qiu

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.

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

markerpen_0.1.1.tar.gz
markerpen_0.1.1.tar.gz(r-4.5-noble)markerpen_0.1.1.tar.gz(r-4.4-noble)
markerpen_0.1.1.tgz(r-4.4-emscripten)markerpen_0.1.1.tgz(r-4.3-emscripten)
markerpen.pdf |markerpen.html✨
markerpen/json (API)
NEWS

# Install 'markerpen' in R:
install.packages('markerpen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 145 downloads 3 exports 5 dependencies

Last updated 4 years agofrom:373c7ca1c9. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 22 2024
R-4.5-linux-x86_64NOTEOct 22 2024

Exports:pca_penrefine_markerssort_markers

Dependencies:latticeMatrixRcppRcppEigenRSpectra

MarkerPen: Marker Gene Detection via Penalized Principal Component Analysis

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

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Oct 22 2024.

Last update: 2021-03-16
Started: 2021-03-11