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STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data
SUMMARY: STACAS is a computational method for the identification of integration anchors in the Seurat environment, optimized for the integration of single-cell (sc) RNA-seq datasets that share only a subset of cell types. We demonstrate that by (i) correcting batch effects while preserving relevant...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098019/ https://www.ncbi.nlm.nih.gov/pubmed/32845323 http://dx.doi.org/10.1093/bioinformatics/btaa755 |