Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

BACKGROUND: The research landscape of single-cell and single-nuclei RNA-sequencing is evolving rapidly. In particular, the area for the detection of rare cells was highly facilitated by this technology. However, an automated, unbiased, and accurate annotation of rare subpopulations is challenging. O...

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Detalles Bibliográficos
Autores principales: Bej, Saptarshi, Galow, Anne-Marie, David, Robert, Wolfien, Markus, Wolkenhauer, Olaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603509/
https://www.ncbi.nlm.nih.gov/pubmed/34798805
http://dx.doi.org/10.1186/s12859-021-04469-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603509/
https://www.ncbi.nlm.nih.gov/pubmed/34798805
http://dx.doi.org/10.1186/s12859-021-04469-x

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