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.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:

4.40 score 5 stars 3 scripts 130 downloads 3 exports 5 dependencies

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

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:pca_penrefine_markerssort_markers

Dependencies:latticeMatrixRcppRcppEigenRSpectra

MarkerPen: Marker Gene Detection via Penalized Principal Component Analysis

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 06 2024.

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