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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359421/
https://www.ncbi.nlm.nih.gov/pubmed/37474509
http://dx.doi.org/10.1038/s41467-023-39985-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359421/
https://www.ncbi.nlm.nih.gov/pubmed/37474509
http://dx.doi.org/10.1038/s41467-023-39985-2

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