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Dynamic inference of cell developmental complex energy landscape from time series single-cell transcriptomic data
Time series single-cell RNA sequencing (scRNA-seq) data are emerging. However, dynamic inference of an evolving cell population from time series scRNA-seq data is challenging owing to the stochasticity and nonlinearity of the underlying biological processes. This calls for the development of mathema...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812873/ https://www.ncbi.nlm.nih.gov/pubmed/35073331 http://dx.doi.org/10.1371/journal.pcbi.1009821 |