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Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data
Clustering is a critical step in single cell-based studies. Most existing methods support unsupervised clustering without the a priori exploitation of any domain knowledge. When confronted by the high dimensionality and pervasive dropout events of scRNA-Seq data, purely unsupervised clustering metho...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994574/ https://www.ncbi.nlm.nih.gov/pubmed/33767149 http://dx.doi.org/10.1038/s41467-021-22008-3 |