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: | Benjamin DeMeo, Bonnie Berger |
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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 |
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