Optimal gene selection for cell type discrimination in single cell analyses
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83 citations
Cites background from "Optimal gene selection for cell typ..."
...Mathematical formulations of this problem [31, 69] analyze a model in which two groups of cells differ on a low-dimensional subspace and have independent, identical distributions orthogonal to this subspace—an instance of the model proposed in (2)....
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24 citations
Cites methods or result from "Optimal gene selection for cell typ..."
...Another recent method [20] defines markers in terms of their overall importance to a clustering, eschewing the notion of markers for specific cell types....
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...The scGeneFit method is introduced in the preprint [20]....
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...The trade-offs between efficiency and marker quality are not yet fully explored in the preprint [20], however (for example, the number of constraints required for quality should probably be related to the number of clusters; this method of random sampling also seems to deemphasize rare cell types)....
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...Therefore, further considering that scGeneFit [20] is presented in a preprint (and is thus subject to significant future change), we report our scGeneFit results in Additional file 1 (Figures 2 and 3 for ZEISEL; Figures 5 and 6 for PAUL) rather than the main manuscript....
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20 citations
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17 citations
Cites background from "Optimal gene selection for cell typ..."
...Lower-dimensional mappings also provide convenient visualizations that lead to hypothesis generation, and inform analytic methods and future experiments [12, 13]....
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References
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