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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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