Package: markerpen 0.1.1

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
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markerpen_0.1.1.tgz(r-4.4-x86_64)markerpen_0.1.1.tgz(r-4.4-arm64)markerpen_0.1.1.tgz(r-4.3-x86_64)markerpen_0.1.1.tgz(r-4.3-arm64)
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://yixuan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yixuan/markerpen/issues

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

On CRAN:

openblascppopenmp

4.40 score 5 stars 3 scripts 120 downloads 3 exports 5 dependencies

Last updated 4 years agofrom:8bed7e05b9. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 05 2025
R-4.5-win-x86_64NOTEJan 05 2025
R-4.5-linux-x86_64NOTEJan 05 2025
R-4.4-win-x86_64NOTEJan 05 2025
R-4.4-mac-x86_64NOTEJan 05 2025
R-4.4-mac-aarch64NOTEJan 05 2025
R-4.3-win-x86_64NOTEJan 05 2025
R-4.3-mac-x86_64NOTEJan 05 2025
R-4.3-mac-aarch64NOTEJan 05 2025

Exports:pca_penrefine_markerssort_markers

Dependencies:latticeMatrixRcppRcppEigenRSpectra

MarkerPen: Marker Gene Detection via Penalized Principal Component Analysis

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jan 05 2025.

Last update: 2021-03-14
Started: 2021-02-28