Discovery of rare cells from voluminous single cell expression data
Algorithms designed to find rare cells in single cell RNA-seq data sets cannot cope with data sets containing tens of thousands of cells. Here the authors present Finder of Rare Entities (FiRE), an algorithm that uses the Sketching technique to assign a rareness score to every expression profile in...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/e5f61881b96d473a964962f81525ffb9 |
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| Sumario: | Algorithms designed to find rare cells in single cell RNA-seq data sets cannot cope with data sets containing tens of thousands of cells. Here the authors present Finder of Rare Entities (FiRE), an algorithm that uses the Sketching technique to assign a rareness score to every expression profile in large RNA-seq data sets. |
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