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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...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8098019/ https://ncbi.nlm.nih.gov/pubmed/32845323 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa755 |
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