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...

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Autores principales:	Bianca Dumitrascu, Soledad Villar, Dustin G. Mixon, Barbara E. Engelhardt
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a73a6f0b9b614243a59329f665ef0fa6
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spelling	oai:doaj.org-article:a73a6f0b9b614243a59329f665ef0fa62021-12-02T10:54:04ZOptimal marker gene selection for cell type discrimination in single cell analyses10.1038/s41467-021-21453-42041-1723https://doaj.org/article/a73a6f0b9b614243a59329f665ef0fa62021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21453-4https://doaj.org/toc/2041-1723The 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.Bianca DumitrascuSoledad VillarDustin G. MixonBarbara E. EngelhardtNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bianca Dumitrascu Soledad Villar Dustin G. Mixon Barbara E. Engelhardt Optimal marker gene selection for cell type discrimination in single cell analyses
description	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.
format	article
author	Bianca Dumitrascu Soledad Villar Dustin G. Mixon Barbara E. Engelhardt
author_facet	Bianca Dumitrascu Soledad Villar Dustin G. Mixon Barbara E. Engelhardt
author_sort	Bianca Dumitrascu
title	Optimal marker gene selection for cell type discrimination in single cell analyses
title_short	Optimal marker gene selection for cell type discrimination in single cell analyses
title_full	Optimal marker gene selection for cell type discrimination in single cell analyses
title_fullStr	Optimal marker gene selection for cell type discrimination in single cell analyses
title_full_unstemmed	Optimal marker gene selection for cell type discrimination in single cell analyses
title_sort	optimal marker gene selection for cell type discrimination in single cell analyses
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a73a6f0b9b614243a59329f665ef0fa6
work_keys_str_mv	AT biancadumitrascu optimalmarkergeneselectionforcelltypediscriminationinsinglecellanalyses AT soledadvillar optimalmarkergeneselectionforcelltypediscriminationinsinglecellanalyses AT dustingmixon optimalmarkergeneselectionforcelltypediscriminationinsinglecellanalyses AT barbaraeengelhardt optimalmarkergeneselectionforcelltypediscriminationinsinglecellanalyses
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Optimal marker gene selection for cell type discrimination in single cell analyses

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