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Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning
With the advances in single-cell sequencing techniques, numerous analytical methods have been developed for delineating cell development. However, most are based on Euclidean space, which would distort the complex hierarchical structure of cell differentiation. Recently, methods acting on hyperbolic...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069463/ https://www.ncbi.nlm.nih.gov/pubmed/36849204 http://dx.doi.org/10.1101/gr.277068.122 |