markerpen0.1.1 package

Marker Gene Detection via Penalized Principal Component Analysis

pca_pen

Penalized Principal Component Analysis for Marker Gene Selection

refine_markers

Marker Gene Selection via Penalized Principal Component Analysis

sort_markers

Post-processing Selected Marker Genes

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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.

  • Maintainer: Yixuan Qiu
  • License: GPL
  • Last published: 2021-03-17