SCA: recovering single-cell heterogeneity through information-based dimensionality reduction
Abstract 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 comp...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-08-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-023-02998-7 |