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. Availability and...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |