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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...

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Detalles Bibliográficos
Autores principales: Park, Youngjun, Hauschild, Anne-Christin, Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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