Approximate Bayesian computation for inferring Waddington landscapes from single-cell data
Single-cell technologies allow us to gain insights into cellular processes at unprecedented resolution. In stem cell and developmental biology snapshot data allow us to characterize how the transcriptional states of cells change between successive cell types. Here, we show how approximate Bayesian c...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
The Royal Society
2024-07-01
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| Series: | Royal Society Open Science |
| Assuntos: | |
| Acceso en liña: | https://royalsocietypublishing.org/doi/10.1098/rsos.231697 |
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