Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST
Single-cell RNA-seq (scRNA-seq) is being widely used to resolve cellular heterogeneity. Here, the authors present a cell-querying method built on a neural network-based generative model and a customized cell-to-cell similarity metric.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-17281-7 |