GapClust is a light-weight approach distinguishing rare cells from voluminous single cell expression profiles
While rare cell type identification is indispensable in single cell studies, powerful tools with high detection accuracy and computational efficiency are still lacking. Here, the authors propose a light-weight algorithm which can distinguish rare cell types from voluminous single cell expression pro...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24489-8 |
| Summary: | While rare cell type identification is indispensable in single cell studies, powerful tools with high detection accuracy and computational efficiency are still lacking. Here, the authors propose a light-weight algorithm which can distinguish rare cell types from voluminous single cell expression profiles. |
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| ISSN: | 2041-1723 |