Nebulosa recovers single cell gene expression signals by kernel density estimation [article]

Jose Alquicira, Joseph Powell
2020 bioRxiv   pre-print
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 .
doi:10.1101/2020.09.29.315879 fatcat:abqjhjxmibhpnmlpkcrty7vpou