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Distance covariance entropy reveals primed states and bifurcation dynamics in single-cell RNA-Seq data
Cell-fate transitions are fundamental to development and differentiation. Studying them with single-cell omic data is important to advance our understanding of the cell-fate commitment process, yet this remains challenging. Here we present a computational method called DICE, which analyzes the entro...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791356/ https://www.ncbi.nlm.nih.gov/pubmed/36578319 http://dx.doi.org/10.1016/j.isci.2022.105709 |