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scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) strives to capture cellular diversity with higher resolution than bulk RNA sequencing. Clustering analysis is critical to transcriptome research as it allows for further identification and discovery of new cell types. Unsupervised clustering cannot...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214737/ https://www.ncbi.nlm.nih.gov/pubmed/37237310 http://dx.doi.org/10.1186/s12859-023-05339-4 |