SCA: recovering single-cell heterogeneity through information-based dimensionality reduction
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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. ... ...
