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SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble
Clustering is an essential step in the analysis of single cell RNA-seq (scRNA-seq) data to shed light on tissue complexity including the number of cell types and transcriptomic signatures of each cell type. Due to its importance, novel methods have been developed recently for this purpose. However,...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943136/ https://www.ncbi.nlm.nih.gov/pubmed/31777938 http://dx.doi.org/10.1093/nar/gkz959 |