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An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation
Single-cell RNA sequencing (scRNA-seq) detects whole transcriptome signals for large amounts of individual cells and is powerful for determining cell-to-cell differences and investigating the functional characteristics of various cell types. scRNA-seq datasets are usually sparse and highly noisy. Ma...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359080/ https://www.ncbi.nlm.nih.gov/pubmed/37225419 http://dx.doi.org/10.1093/bib/bbad199 |