GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
Inference and representation of differentiation trajectories from single cell RNA-seq data remains a challenge. Here, the authors offer a visualization approach that captures both continuous differentiation trajectories and discrete clusters representing metastable states along the trajectories.
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/92926193d3624cef9115605b6d25e5c3 |
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