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

2021; Oxford University Press; Volume: 37; Issue: 16 Linguagem: Inglês

10.1093/bioinformatics/btab003

1367-4811

José Alquicira-Hernández, Joseph E. Powell,

Cell Image Analysis Techniques

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.Nebulosa can be easily installed from www.github.com/powellgenomicslab/Nebulosa.Supplementary data are available at Bioinformatics online.