Nature Communications (Feb 2021)

Optimal marker gene selection for cell type discrimination in single cell analyses

  • Bianca Dumitrascu,
  • Soledad Villar,
  • Dustin G. Mixon,
  • Barbara E. Engelhardt

DOI
https://doi.org/10.1038/s41467-021-21453-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

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The selection of a small set of cellular labels to distinguish a subpopulation of cells from a complex mixture is an important task in cell biology. Here the authors propose a method for supervised genetic marker selection using linear programming and provides a Python package scGeneFit that implements this approach.