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SCA: recovering single-cell heterogeneity through information-based dimensionality reduction
Dimensionality reduction summarizes the complex transcriptomic landscape of single-cell datasets for downstream analyses. Current approaches favor large cellular populations defined by many genes, at the expense of smaller and more subtly defined populations. Here, we present surprisal component ana...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464206/ https://www.ncbi.nlm.nih.gov/pubmed/37626411 http://dx.doi.org/10.1186/s13059-023-02998-7 |