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Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroids
Due to the high dimensionality and sparsity of the gene expression matrix in single-cell RNA-sequencing (scRNA-seq) data, coupled with significant noise generated by shallow sequencing, it poses a great challenge for cell clustering methods. While numerous computational methods have been proposed, t...
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/PMC10664408/ https://www.ncbi.nlm.nih.gov/pubmed/37991248 http://dx.doi.org/10.1093/bib/bbad426 |