Optimal marker gene selection for cell type discrimination in single cell analyses
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 impleme...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-21453-4 |