Nebulosa recovers single cell gene expression signals by kernel density estimation
2020
SummaryData 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 implementationNebulosa can be easily installed from www.github.com/powellgenomicslab/Nebulosa
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