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scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment
MOTIVATION: Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. Existing methods do not correct batch effects satisfactorily, especially with single-cell RNA sequencing (RNA-seq) data. RESULTS: We present scBatch, a numerical algorithm for b...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7214039/ https://ncbi.nlm.nih.gov/pubmed/32053185 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa097 |
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