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...
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| Autores principales: | , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/8ade08b8a643414e84ebe9771752ced7 |
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| Sumario: | 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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