Abstract
Summary Data sparsity in single-cell experiments prevents an accurate assessment of gene expression when visualised in a low-dimensional space. Here, we introduce Nebulosa, an R package that uses weighted kernel density estimation to recover signals lost through drop-out or low expression.
Availability and implementation Nebulosa can be easily installed from www.github.com/powellgenomicslab/Nebulosa
Competing Interest Statement
The authors have declared no competing interest.
Copyright
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