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Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis
Clustering and cell type classification are important steps in single-cell RNA-seq (scRNA-seq) analysis. As more and more scRNA-seq data are becoming available, supervised cell type classification methods that utilize external well-annotated source data start to gain popularity over unsupervised clu...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009055/ https://www.ncbi.nlm.nih.gov/pubmed/33817554 http://dx.doi.org/10.1038/s42256-020-00233-7 |