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Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
Advances in single-cell technologies allow scrutinizing of heterogeneous cell states, however, detecting cell-state transitions from snap-shot single-cell transcriptome data remains challenging. To investigate cells with transient properties or mixed identities, we present MuTrans, a method based on...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460805/ https://www.ncbi.nlm.nih.gov/pubmed/34556644 http://dx.doi.org/10.1038/s41467-021-25548-w |