Nebulosa recovers single-cell gene expression signals by kernel density estimation

Data sparsity in single-cell experiments prevents an accurate assessment of gene expression when visualized 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.

Automated summary

Nebulosa is an R package that utilizes weighted kernel density estimation to recover lost signals caused by data sparsity in single-cell experiments, improving the accurate assessment of gene expression.