Functional interpretation of single cell similarity maps
The increasing accessibility of single cell RNA sequencing demands tools that enable data visualization and interpretation. Here, the authors introduce Vision, a flexible annotation tool that operates directly on the manifold of cell-cell similarity and aids interpretation of cellular heterogeneity.
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-12235-0 |