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Batch effects in single-cell RNA sequencing data are corrected by matching mutual nearest neighbours
Large-scale single-cell RNA sequencing (scRNA-seq) datasets that are produced in different laboratories and at different times contain batch effects that could compromise integration and interpretation of these data. Existing scRNA-seq analysis methods incorrectly assume that the composition of cell...
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| Publicado en: | Nat Biotechnol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6152897/ https://ncbi.nlm.nih.gov/pubmed/29608177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nbt.4091 |
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