scSTEM: clustering pseudotime ordered single-cell data
Abstract We develop scSTEM, single-cell STEM, a method for clustering dynamic profiles of genes in trajectories inferred from pseudotime ordering of single-cell RNA-seq (scRNA-seq) data. scSTEM uses one of several metrics to summarize the expression of genes and assigns a p-value to clusters enablin...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2022-07-01
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| Col·lecció: | Genome Biology |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13059-022-02716-9 |
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