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Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing
Tremendous advances in next-generation sequencing technology have enabled the accumulation of large amounts of omics data in various research areas over the past decade. However, study limitations due to small sample sizes, especially in rare disease clinical research, technological heterogeneity an...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598306/ https://www.ncbi.nlm.nih.gov/pubmed/34805988 http://dx.doi.org/10.1093/nargab/lqab104 |