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Revealing Dynamic Mechanisms of Cell Fate Decisions From Single-Cell Transcriptomic Data
Cell fate decisions play a pivotal role in development, but technologies for dissecting them are limited. We developed a multifunction new method, Topographer, to construct a “quantitative” Waddington’s landscape of single-cell transcriptomic data. This method is able to identify complex cell-state...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935941/ https://www.ncbi.nlm.nih.gov/pubmed/31921315 http://dx.doi.org/10.3389/fgene.2019.01280 |