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SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data
MOTIVATION: Accurately clustering cell types from a mass of heterogeneous cells is a crucial first step for the analysis of single-cell RNA-seq (scRNA-Seq) data. Although several methods have been recently developed, they utilize different characteristics of data and yield varying results in terms o...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6477982/ https://ncbi.nlm.nih.gov/pubmed/30202935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty793 |
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