Identification of transcriptional programs using dense vector representations defined by mutual information with GeneVector

Deciphering individual cell phenotypes from cell-specific transcriptional processes requires high dimensional single cell RNA sequencing. However, current dimensionality reduction methods aggregate sparse gene information across cells, without directly measuring the relationships that exist between...

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Veröffentlicht in:Nature communications Jg. 14; H. 1; S. 4400 - 13
Hauptverfasser: Ceglia, Nicholas, Sethna, Zachary, Freeman, Samuel S., Uhlitz, Florian, Bojilova, Viktoria, Rusk, Nicole, Burman, Bharat, Chow, Andrew, Salehi, Sohrab, Kabeer, Farhia, Aparicio, Samuel, Greenbaum, Benjamin D., Shah, Sohrab P., McPherson, Andrew
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 20.07.2023
Nature Publishing Group
Nature Portfolio
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ISSN:2041-1723, 2041-1723
Online-Zugang:Volltext
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