Integrating single-cell RNA-seq datasets with substantial batch effects

Computational methods for integrating scRNA-seq datasets often struggle to harmonize datasets with substantial differences driven by technical or biological variation, such as between different species, organoids and primary tissue, or different scRNA-seq protocols, including single-cell and single-...

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Detalles Bibliográficos
Autores principales: Hrovatin, Karin, Moinfar, Amir Ali, Lapuerta, Alejandro Tejada, Zappia, Luke, Lengerich, Ben, Kellis, Manolis, Theis, Fabian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635119/
https://www.ncbi.nlm.nih.gov/pubmed/37961672
http://dx.doi.org/10.1101/2023.11.03.565463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635119/
https://www.ncbi.nlm.nih.gov/pubmed/37961672
http://dx.doi.org/10.1101/2023.11.03.565463

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