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Contrastive self-supervised clustering of scRNA-seq data
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has emerged has a main strategy to study transcriptional activity at the cellular level. Clustering analysis is routinely performed on scRNA-seq data to explore, recognize or discover underlying cell identities. The high dimensionality of scRNA-seq...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8157426/ https://ncbi.nlm.nih.gov/pubmed/34044773 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04210-8 |
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