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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...
Uloženo v:
| Vydáno v: | Nat Commun |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7994574/ https://ncbi.nlm.nih.gov/pubmed/33767149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-22008-3 |
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