A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Abstract Background Large-scale single-cell transcriptomic datasets generated using different technologies contain batch-specific systematic variations that present a challenge to batch-effect removal and data integration. With continued growth expected in scRNA-seq data, achieving effective batch i...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2020-01-01
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| Schriftenreihe: | Genome Biology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s13059-019-1850-9 |
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