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A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data
Automatic cell type annotation methods are increasingly used in single-cell RNA sequencing (scRNA-seq) analysis due to their fast and precise advantages. However, current methods often fail to account for the imbalance of scRNA-seq datasets and ignore information from smaller populations, leading to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199434/ https://www.ncbi.nlm.nih.gov/pubmed/37210444 http://dx.doi.org/10.1038/s42003-023-04928-6 |